Test Results Summary Service

renaissance-movie-lens_0

[2025-10-16T23:13:13.015Z] Running test renaissance-movie-lens_0 ... [2025-10-16T23:13:13.015Z] =============================================== [2025-10-16T23:13:13.015Z] renaissance-movie-lens_0 Start Time: Thu Oct 16 23:13:12 2025 Epoch Time (ms): 1760656392337 [2025-10-16T23:13:13.015Z] variation: NoOptions [2025-10-16T23:13:13.015Z] JVM_OPTIONS: [2025-10-16T23:13:13.015Z] { \ [2025-10-16T23:13:13.015Z] echo ""; echo "TEST SETUP:"; \ [2025-10-16T23:13:13.015Z] echo "Nothing to be done for setup."; \ [2025-10-16T23:13:13.015Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17606548502885/renaissance-movie-lens_0"; \ [2025-10-16T23:13:13.015Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17606548502885/renaissance-movie-lens_0"; \ [2025-10-16T23:13:13.015Z] echo ""; echo "TESTING:"; \ [2025-10-16T23:13:13.015Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17606548502885/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-16T23:13:13.015Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17606548502885/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-16T23:13:13.015Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-16T23:13:13.015Z] echo "Nothing to be done for teardown."; \ [2025-10-16T23:13:13.015Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17606548502885/TestTargetResult"; [2025-10-16T23:13:13.015Z] [2025-10-16T23:13:13.015Z] TEST SETUP: [2025-10-16T23:13:13.015Z] Nothing to be done for setup. [2025-10-16T23:13:13.015Z] [2025-10-16T23:13:13.015Z] TESTING: [2025-10-16T23:13:13.015Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-16T23:13:13.015Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17606548502885/renaissance-movie-lens_0/launcher-231312-11317088759078213850/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-16T23:13:13.015Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-16T23:13:13.015Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-16T23:13:17.650Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-10-16T23:13:24.869Z] 23:13:23.552 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-10-16T23:13:26.462Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-16T23:13:27.141Z] Training: 60056, validation: 20285, test: 19854 [2025-10-16T23:13:27.141Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-16T23:13:27.141Z] GC before operation: completed in 155.688 ms, heap usage 193.768 MB -> 75.455 MB. [2025-10-16T23:13:34.260Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:13:38.879Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:13:41.769Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:13:45.447Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:13:47.042Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:13:48.706Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:13:50.337Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:13:51.935Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:13:51.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:13:52.248Z] The best model improves the baseline by 14.34%. [2025-10-16T23:13:52.248Z] Top recommended movies for user id 72: [2025-10-16T23:13:52.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:13:52.248Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:13:52.248Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:13:52.248Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:13:52.248Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:13:52.248Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25109.753 ms) ====== [2025-10-16T23:13:52.248Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-16T23:13:52.565Z] GC before operation: completed in 162.008 ms, heap usage 114.319 MB -> 87.279 MB. [2025-10-16T23:13:55.423Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:13:57.606Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:13:59.780Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:14:02.026Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:14:03.127Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:14:04.722Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:14:05.819Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:14:07.418Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:14:07.418Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:14:07.418Z] The best model improves the baseline by 14.34%. [2025-10-16T23:14:07.729Z] Top recommended movies for user id 72: [2025-10-16T23:14:07.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:14:07.729Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:14:07.729Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:14:07.729Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:14:07.729Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:14:07.729Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15138.648 ms) ====== [2025-10-16T23:14:07.729Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-16T23:14:07.729Z] GC before operation: completed in 143.917 ms, heap usage 144.009 MB -> 87.434 MB. [2025-10-16T23:14:09.913Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:14:12.143Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:14:14.999Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:14:16.594Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:14:17.690Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:14:18.793Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:14:20.385Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:14:21.515Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:14:21.828Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:14:21.828Z] The best model improves the baseline by 14.34%. [2025-10-16T23:14:21.828Z] Top recommended movies for user id 72: [2025-10-16T23:14:21.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:14:21.828Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:14:21.828Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:14:21.828Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:14:21.828Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:14:21.828Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14097.680 ms) ====== [2025-10-16T23:14:21.828Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-16T23:14:22.140Z] GC before operation: completed in 149.028 ms, heap usage 440.727 MB -> 91.667 MB. [2025-10-16T23:14:24.323Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:14:26.516Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:14:28.697Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:14:30.941Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:14:32.116Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:14:33.211Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:14:34.808Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:14:35.905Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:14:36.219Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:14:36.219Z] The best model improves the baseline by 14.34%. [2025-10-16T23:14:36.219Z] Top recommended movies for user id 72: [2025-10-16T23:14:36.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:14:36.219Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:14:36.219Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:14:36.219Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:14:36.219Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:14:36.219Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14252.903 ms) ====== [2025-10-16T23:14:36.219Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-16T23:14:36.531Z] GC before operation: completed in 140.639 ms, heap usage 402.974 MB -> 88.718 MB. [2025-10-16T23:14:38.733Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:14:40.904Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:14:43.079Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:14:44.667Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:14:46.260Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:14:47.357Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:14:48.452Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:14:49.557Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:14:49.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:14:49.871Z] The best model improves the baseline by 14.34%. [2025-10-16T23:14:50.244Z] Top recommended movies for user id 72: [2025-10-16T23:14:50.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:14:50.244Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:14:50.244Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:14:50.244Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:14:50.244Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:14:50.244Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13587.742 ms) ====== [2025-10-16T23:14:50.244Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-16T23:14:50.244Z] GC before operation: completed in 131.208 ms, heap usage 400.526 MB -> 88.641 MB. [2025-10-16T23:14:52.431Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:14:54.024Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:14:56.201Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:14:58.378Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:14:59.477Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:15:01.080Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:15:02.189Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:15:03.290Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:15:03.606Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:15:03.606Z] The best model improves the baseline by 14.34%. [2025-10-16T23:15:03.606Z] Top recommended movies for user id 72: [2025-10-16T23:15:03.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:15:03.606Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:15:03.606Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:15:03.606Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:15:03.606Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:15:03.606Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13517.372 ms) ====== [2025-10-16T23:15:03.606Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-16T23:15:03.919Z] GC before operation: completed in 133.179 ms, heap usage 502.147 MB -> 92.365 MB. [2025-10-16T23:15:06.094Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:15:07.689Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:15:10.552Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:15:12.213Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:15:13.308Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:15:14.402Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:15:15.992Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:15:17.086Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:15:17.086Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:15:17.086Z] The best model improves the baseline by 14.34%. [2025-10-16T23:15:17.399Z] Top recommended movies for user id 72: [2025-10-16T23:15:17.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:15:17.399Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:15:17.399Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:15:17.399Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:15:17.399Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:15:17.399Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13474.949 ms) ====== [2025-10-16T23:15:17.399Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-16T23:15:17.399Z] GC before operation: completed in 120.094 ms, heap usage 434.293 MB -> 89.071 MB. [2025-10-16T23:15:19.573Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:15:21.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:15:23.933Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:15:25.530Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:15:26.630Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:15:27.731Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:15:29.326Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:15:30.422Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:15:30.422Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:15:30.422Z] The best model improves the baseline by 14.34%. [2025-10-16T23:15:30.735Z] Top recommended movies for user id 72: [2025-10-16T23:15:30.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:15:30.735Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:15:30.735Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:15:30.735Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:15:30.735Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:15:30.735Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13217.407 ms) ====== [2025-10-16T23:15:30.735Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-16T23:15:30.735Z] GC before operation: completed in 122.886 ms, heap usage 169.046 MB -> 88.841 MB. [2025-10-16T23:15:32.978Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:15:34.566Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:15:36.742Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:15:38.917Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:15:39.591Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:15:41.197Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:15:42.303Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:15:43.405Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:15:43.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:15:43.405Z] The best model improves the baseline by 14.34%. [2025-10-16T23:15:43.770Z] Top recommended movies for user id 72: [2025-10-16T23:15:43.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:15:43.770Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:15:43.770Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:15:43.770Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:15:43.770Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:15:43.770Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12907.722 ms) ====== [2025-10-16T23:15:43.770Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-16T23:15:43.770Z] GC before operation: completed in 129.278 ms, heap usage 388.281 MB -> 89.123 MB. [2025-10-16T23:15:45.967Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:15:48.156Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:15:50.338Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:15:51.991Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:15:53.262Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:15:54.374Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:15:55.485Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:15:56.589Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:15:56.906Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:15:56.906Z] The best model improves the baseline by 14.34%. [2025-10-16T23:15:57.220Z] Top recommended movies for user id 72: [2025-10-16T23:15:57.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:15:57.220Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:15:57.220Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:15:57.220Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:15:57.220Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:15:57.220Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13285.409 ms) ====== [2025-10-16T23:15:57.220Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-16T23:15:57.220Z] GC before operation: completed in 116.383 ms, heap usage 493.823 MB -> 92.663 MB. [2025-10-16T23:15:59.410Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:16:01.007Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:16:03.180Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:16:04.776Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:16:06.370Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:16:07.468Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:16:08.562Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:16:09.662Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:16:09.975Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:16:09.975Z] The best model improves the baseline by 14.34%. [2025-10-16T23:16:09.975Z] Top recommended movies for user id 72: [2025-10-16T23:16:09.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:16:09.975Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:16:09.975Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:16:09.975Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:16:09.975Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:16:09.975Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12916.779 ms) ====== [2025-10-16T23:16:09.975Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-16T23:16:10.288Z] GC before operation: completed in 116.839 ms, heap usage 396.027 MB -> 89.062 MB. [2025-10-16T23:16:12.528Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:16:14.127Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:16:16.302Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:16:17.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:16:18.998Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:16:20.095Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:16:21.190Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:16:22.292Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:16:22.606Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:16:22.606Z] The best model improves the baseline by 14.34%. [2025-10-16T23:16:22.606Z] Top recommended movies for user id 72: [2025-10-16T23:16:22.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:16:22.606Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:16:22.606Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:16:22.606Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:16:22.606Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:16:22.606Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12409.187 ms) ====== [2025-10-16T23:16:22.606Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-16T23:16:22.924Z] GC before operation: completed in 115.538 ms, heap usage 421.930 MB -> 89.339 MB. [2025-10-16T23:16:24.519Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:16:26.694Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:16:28.865Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:16:30.464Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:16:31.561Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:16:32.739Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:16:33.851Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:16:34.966Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:16:34.966Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:16:35.282Z] The best model improves the baseline by 14.34%. [2025-10-16T23:16:35.282Z] Top recommended movies for user id 72: [2025-10-16T23:16:35.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:16:35.282Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:16:35.282Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:16:35.282Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:16:35.282Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:16:35.282Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12474.783 ms) ====== [2025-10-16T23:16:35.282Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-16T23:16:35.282Z] GC before operation: completed in 117.599 ms, heap usage 241.407 MB -> 89.122 MB. [2025-10-16T23:16:37.629Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:16:39.232Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:16:41.462Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:16:43.054Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:16:44.166Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:16:45.269Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:16:46.372Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:16:47.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:16:47.476Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:16:47.476Z] The best model improves the baseline by 14.34%. [2025-10-16T23:16:47.788Z] Top recommended movies for user id 72: [2025-10-16T23:16:47.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:16:47.788Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:16:47.788Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:16:47.788Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:16:47.788Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:16:47.788Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12372.158 ms) ====== [2025-10-16T23:16:47.788Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-16T23:16:47.788Z] GC before operation: completed in 111.393 ms, heap usage 143.842 MB -> 88.775 MB. [2025-10-16T23:16:49.972Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:16:51.570Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:16:53.757Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:16:55.353Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:16:56.450Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:16:57.548Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:16:58.654Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:16:59.756Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:16:59.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:16:59.757Z] The best model improves the baseline by 14.34%. [2025-10-16T23:17:00.075Z] Top recommended movies for user id 72: [2025-10-16T23:17:00.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:17:00.075Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:17:00.075Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:17:00.075Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:17:00.075Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:17:00.075Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12087.413 ms) ====== [2025-10-16T23:17:00.076Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-16T23:17:00.076Z] GC before operation: completed in 119.969 ms, heap usage 621.326 MB -> 93.091 MB. [2025-10-16T23:17:02.299Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:17:04.002Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:17:06.174Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:17:07.771Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:17:08.918Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:17:10.030Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:17:11.170Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:17:12.280Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:17:12.280Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:17:12.280Z] The best model improves the baseline by 14.34%. [2025-10-16T23:17:12.280Z] Top recommended movies for user id 72: [2025-10-16T23:17:12.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:17:12.280Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:17:12.280Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:17:12.280Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:17:12.280Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:17:12.280Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12365.923 ms) ====== [2025-10-16T23:17:12.280Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-16T23:17:12.593Z] GC before operation: completed in 119.065 ms, heap usage 391.143 MB -> 89.304 MB. [2025-10-16T23:17:14.858Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:17:16.454Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:17:18.621Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:17:20.212Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:17:21.332Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:17:22.432Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:17:23.533Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:17:24.630Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:17:24.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:17:24.943Z] The best model improves the baseline by 14.34%. [2025-10-16T23:17:24.943Z] Top recommended movies for user id 72: [2025-10-16T23:17:24.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:17:24.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:17:24.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:17:24.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:17:24.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:17:24.943Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12535.407 ms) ====== [2025-10-16T23:17:24.943Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-16T23:17:25.255Z] GC before operation: completed in 113.570 ms, heap usage 247.760 MB -> 89.168 MB. [2025-10-16T23:17:26.845Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:17:29.020Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:17:31.196Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:17:32.788Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:17:33.910Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:17:35.016Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:17:36.615Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:17:37.318Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:17:37.640Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:17:37.640Z] The best model improves the baseline by 14.34%. [2025-10-16T23:17:37.640Z] Top recommended movies for user id 72: [2025-10-16T23:17:37.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:17:37.640Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:17:37.640Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:17:37.640Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:17:37.640Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:17:37.640Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12582.986 ms) ====== [2025-10-16T23:17:37.640Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-16T23:17:37.952Z] GC before operation: completed in 132.782 ms, heap usage 577.302 MB -> 92.715 MB. [2025-10-16T23:17:40.171Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:17:41.787Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:17:43.965Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:17:45.560Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:17:46.661Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:17:47.762Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:17:48.860Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:17:50.022Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:17:50.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:17:50.341Z] The best model improves the baseline by 14.34%. [2025-10-16T23:17:50.341Z] Top recommended movies for user id 72: [2025-10-16T23:17:50.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:17:50.341Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:17:50.341Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:17:50.341Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:17:50.341Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:17:50.341Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12379.363 ms) ====== [2025-10-16T23:17:50.341Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-16T23:17:50.341Z] GC before operation: completed in 117.869 ms, heap usage 410.076 MB -> 89.317 MB. [2025-10-16T23:17:52.516Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T23:17:54.121Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T23:17:56.297Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T23:17:57.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T23:17:58.577Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T23:17:59.679Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T23:18:00.851Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T23:18:01.960Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T23:18:02.278Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-16T23:18:02.278Z] The best model improves the baseline by 14.34%. [2025-10-16T23:18:02.278Z] Top recommended movies for user id 72: [2025-10-16T23:18:02.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-16T23:18:02.278Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-16T23:18:02.278Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-16T23:18:02.278Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-16T23:18:02.278Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-16T23:18:02.278Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11998.240 ms) ====== [2025-10-16T23:18:02.951Z] ----------------------------------- [2025-10-16T23:18:02.951Z] renaissance-movie-lens_0_PASSED [2025-10-16T23:18:02.951Z] ----------------------------------- [2025-10-16T23:18:02.951Z] [2025-10-16T23:18:02.951Z] TEST TEARDOWN: [2025-10-16T23:18:02.951Z] Nothing to be done for teardown. [2025-10-16T23:18:02.951Z] renaissance-movie-lens_0 Finish Time: Thu Oct 16 23:18:02 2025 Epoch Time (ms): 1760656682773