[2025-11-12T23:34:57.330Z] Running test renaissance-movie-lens_0 ... [2025-11-12T23:34:57.330Z] =============================================== [2025-11-12T23:34:57.330Z] renaissance-movie-lens_0 Start Time: Wed Nov 12 23:34:57 2025 Epoch Time (ms): 1762990497099 [2025-11-12T23:34:57.330Z] variation: NoOptions [2025-11-12T23:34:57.330Z] JVM_OPTIONS: [2025-11-12T23:34:57.330Z] { \ [2025-11-12T23:34:57.330Z] echo ""; echo "TEST SETUP:"; \ [2025-11-12T23:34:57.330Z] echo "Nothing to be done for setup."; \ [2025-11-12T23:34:57.330Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629880619860/renaissance-movie-lens_0"; \ [2025-11-12T23:34:57.330Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629880619860/renaissance-movie-lens_0"; \ [2025-11-12T23:34:57.330Z] echo ""; echo "TESTING:"; \ [2025-11-12T23:34:57.330Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629880619860/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-12T23:34:57.330Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629880619860/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-12T23:34:57.330Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-12T23:34:57.330Z] echo "Nothing to be done for teardown."; \ [2025-11-12T23:34:57.330Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17629880619860/TestTargetResult"; [2025-11-12T23:34:57.330Z] [2025-11-12T23:34:57.330Z] TEST SETUP: [2025-11-12T23:34:57.330Z] Nothing to be done for setup. [2025-11-12T23:34:57.330Z] [2025-11-12T23:34:57.330Z] TESTING: [2025-11-12T23:35:03.269Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-12T23:35:10.570Z] 23:35:10.266 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. [2025-11-12T23:35:13.563Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-12T23:35:14.805Z] Training: 60056, validation: 20285, test: 19854 [2025-11-12T23:35:14.805Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-12T23:35:14.805Z] GC before operation: completed in 142.030 ms, heap usage 199.653 MB -> 75.379 MB. [2025-11-12T23:35:23.752Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:35:28.624Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:35:33.428Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:35:38.205Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:35:40.479Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:35:42.759Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:35:44.592Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:35:46.875Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:35:47.210Z] 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. [2025-11-12T23:35:47.210Z] The best model improves the baseline by 14.34%. [2025-11-12T23:35:47.541Z] Top recommended movies for user id 72: [2025-11-12T23:35:47.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:35:47.541Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:35:47.541Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:35:47.541Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:35:47.541Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:35:47.541Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32944.632 ms) ====== [2025-11-12T23:35:47.541Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-12T23:35:47.871Z] GC before operation: completed in 161.349 ms, heap usage 206.663 MB -> 87.987 MB. [2025-11-12T23:35:50.849Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:35:53.840Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:35:56.819Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:35:59.802Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:36:01.475Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:36:03.145Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:36:04.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:36:06.573Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:36:06.573Z] 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. [2025-11-12T23:36:06.573Z] The best model improves the baseline by 14.34%. [2025-11-12T23:36:06.903Z] Top recommended movies for user id 72: [2025-11-12T23:36:06.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:36:06.903Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:36:06.903Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:36:06.903Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:36:06.903Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:36:06.903Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19209.494 ms) ====== [2025-11-12T23:36:06.903Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-12T23:36:07.236Z] GC before operation: completed in 149.113 ms, heap usage 240.853 MB -> 87.603 MB. [2025-11-12T23:36:10.208Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:36:12.512Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:36:15.483Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:36:17.760Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:36:19.429Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:36:21.097Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:36:23.451Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:36:25.127Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:36:25.127Z] 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. [2025-11-12T23:36:25.127Z] The best model improves the baseline by 14.34%. [2025-11-12T23:36:25.461Z] Top recommended movies for user id 72: [2025-11-12T23:36:25.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:36:25.461Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:36:25.461Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:36:25.461Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:36:25.461Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:36:25.461Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18258.272 ms) ====== [2025-11-12T23:36:25.461Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-12T23:36:25.461Z] GC before operation: completed in 143.142 ms, heap usage 246.367 MB -> 88.232 MB. [2025-11-12T23:36:28.437Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:36:30.712Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:36:33.810Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:36:36.084Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:36:37.758Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:36:39.433Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:36:41.108Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:36:42.788Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:36:42.788Z] 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. [2025-11-12T23:36:42.788Z] The best model improves the baseline by 14.34%. [2025-11-12T23:36:43.128Z] Top recommended movies for user id 72: [2025-11-12T23:36:43.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:36:43.128Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:36:43.128Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:36:43.128Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:36:43.128Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:36:43.128Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17495.336 ms) ====== [2025-11-12T23:36:43.128Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-12T23:36:43.128Z] GC before operation: completed in 154.229 ms, heap usage 139.371 MB -> 88.305 MB. [2025-11-12T23:36:46.193Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:36:48.483Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:36:51.457Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:36:53.727Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:36:54.888Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:36:56.557Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:36:58.227Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:36:59.898Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:37:00.231Z] 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. [2025-11-12T23:37:00.231Z] The best model improves the baseline by 14.34%. [2025-11-12T23:37:00.231Z] Top recommended movies for user id 72: [2025-11-12T23:37:00.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:37:00.231Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:37:00.231Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:37:00.231Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:37:00.231Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:37:00.231Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17172.362 ms) ====== [2025-11-12T23:37:00.231Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-12T23:37:00.562Z] GC before operation: completed in 164.286 ms, heap usage 613.819 MB -> 92.260 MB. [2025-11-12T23:37:02.832Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:37:05.810Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:37:08.082Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:37:10.492Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:37:12.167Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:37:13.841Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:37:15.510Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:37:17.187Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:37:17.187Z] 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. [2025-11-12T23:37:17.187Z] The best model improves the baseline by 14.34%. [2025-11-12T23:37:17.521Z] Top recommended movies for user id 72: [2025-11-12T23:37:17.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:37:17.521Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:37:17.521Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:37:17.521Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:37:17.521Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:37:17.521Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16960.888 ms) ====== [2025-11-12T23:37:17.521Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-12T23:37:17.521Z] GC before operation: completed in 154.214 ms, heap usage 304.559 MB -> 88.822 MB. [2025-11-12T23:37:20.497Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:37:22.770Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:37:25.094Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:37:27.456Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:37:29.127Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:37:30.809Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:37:33.082Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:37:34.240Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:37:34.575Z] 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. [2025-11-12T23:37:34.973Z] The best model improves the baseline by 14.34%. [2025-11-12T23:37:34.973Z] Top recommended movies for user id 72: [2025-11-12T23:37:34.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:37:34.973Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:37:34.973Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:37:34.973Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:37:34.973Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:37:34.973Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17337.916 ms) ====== [2025-11-12T23:37:34.973Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-12T23:37:34.973Z] GC before operation: completed in 150.979 ms, heap usage 365.094 MB -> 89.013 MB. [2025-11-12T23:37:37.259Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:37:40.231Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:37:42.509Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:37:44.856Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:37:46.530Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:37:48.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:37:49.874Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:37:51.324Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:37:51.656Z] 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. [2025-11-12T23:37:51.657Z] The best model improves the baseline by 14.34%. [2025-11-12T23:37:51.657Z] Top recommended movies for user id 72: [2025-11-12T23:37:51.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:37:51.657Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:37:51.657Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:37:51.657Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:37:51.657Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:37:51.657Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16625.673 ms) ====== [2025-11-12T23:37:51.657Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-12T23:37:51.990Z] GC before operation: completed in 146.918 ms, heap usage 310.345 MB -> 89.091 MB. [2025-11-12T23:37:54.257Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:37:56.532Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:37:59.508Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:38:01.786Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:38:03.462Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:38:04.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:38:06.411Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:38:08.088Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:38:08.088Z] 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. [2025-11-12T23:38:08.088Z] The best model improves the baseline by 14.34%. [2025-11-12T23:38:08.437Z] Top recommended movies for user id 72: [2025-11-12T23:38:08.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:38:08.437Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:38:08.437Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:38:08.437Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:38:08.437Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:38:08.437Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16458.768 ms) ====== [2025-11-12T23:38:08.437Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-12T23:38:08.437Z] GC before operation: completed in 145.034 ms, heap usage 312.100 MB -> 89.045 MB. [2025-11-12T23:38:10.705Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:38:13.676Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:38:15.972Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:38:18.370Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:38:20.043Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:38:21.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:38:22.880Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:38:24.557Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:38:24.557Z] 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. [2025-11-12T23:38:24.557Z] The best model improves the baseline by 14.34%. [2025-11-12T23:38:24.892Z] Top recommended movies for user id 72: [2025-11-12T23:38:24.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:38:24.892Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:38:24.892Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:38:24.892Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:38:24.892Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:38:24.892Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16256.856 ms) ====== [2025-11-12T23:38:24.892Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-12T23:38:24.892Z] GC before operation: completed in 145.892 ms, heap usage 261.636 MB -> 89.144 MB. [2025-11-12T23:38:27.239Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:38:29.509Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:38:32.480Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:38:34.754Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:38:35.958Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:38:37.628Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:38:38.791Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:38:40.467Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:38:40.799Z] 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. [2025-11-12T23:38:40.799Z] The best model improves the baseline by 14.34%. [2025-11-12T23:38:41.130Z] Top recommended movies for user id 72: [2025-11-12T23:38:41.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:38:41.130Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:38:41.130Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:38:41.130Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:38:41.130Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:38:41.130Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16122.454 ms) ====== [2025-11-12T23:38:41.130Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-12T23:38:41.130Z] GC before operation: completed in 143.346 ms, heap usage 107.308 MB -> 90.649 MB. [2025-11-12T23:38:43.397Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:38:45.739Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:38:48.765Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:38:50.439Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:38:52.126Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:38:53.285Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:38:54.973Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:38:56.655Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:38:56.655Z] 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. [2025-11-12T23:38:56.655Z] The best model improves the baseline by 14.34%. [2025-11-12T23:38:56.986Z] Top recommended movies for user id 72: [2025-11-12T23:38:56.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:38:56.986Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:38:56.986Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:38:56.986Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:38:56.986Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:38:56.986Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15804.679 ms) ====== [2025-11-12T23:38:56.986Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-12T23:38:56.986Z] GC before operation: completed in 148.035 ms, heap usage 107.068 MB -> 92.712 MB. [2025-11-12T23:38:59.976Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:39:02.250Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:39:04.630Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:39:06.928Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:39:08.088Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:39:09.754Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:39:11.426Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:39:13.106Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:39:13.106Z] 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. [2025-11-12T23:39:13.106Z] The best model improves the baseline by 14.34%. [2025-11-12T23:39:13.439Z] Top recommended movies for user id 72: [2025-11-12T23:39:13.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:39:13.439Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:39:13.439Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:39:13.439Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:39:13.439Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:39:13.439Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16221.806 ms) ====== [2025-11-12T23:39:13.439Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-12T23:39:13.439Z] GC before operation: completed in 149.550 ms, heap usage 402.673 MB -> 89.378 MB. [2025-11-12T23:39:15.712Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:39:18.692Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:39:20.965Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:39:23.236Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:39:24.394Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:39:26.179Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:39:27.846Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:39:28.999Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:39:29.331Z] 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. [2025-11-12T23:39:29.331Z] The best model improves the baseline by 14.34%. [2025-11-12T23:39:29.331Z] Top recommended movies for user id 72: [2025-11-12T23:39:29.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:39:29.331Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:39:29.331Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:39:29.331Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:39:29.331Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:39:29.331Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15873.625 ms) ====== [2025-11-12T23:39:29.331Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-12T23:39:29.662Z] GC before operation: completed in 148.270 ms, heap usage 247.466 MB -> 88.935 MB. [2025-11-12T23:39:31.933Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:39:34.249Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:39:36.528Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:39:38.792Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:39:40.457Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:39:41.618Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:39:43.290Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:39:44.534Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:39:44.866Z] 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. [2025-11-12T23:39:44.866Z] The best model improves the baseline by 14.34%. [2025-11-12T23:39:44.866Z] Top recommended movies for user id 72: [2025-11-12T23:39:44.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:39:44.866Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:39:44.866Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:39:44.866Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:39:44.866Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:39:44.866Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15522.553 ms) ====== [2025-11-12T23:39:44.866Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-12T23:39:45.201Z] GC before operation: completed in 149.688 ms, heap usage 286.791 MB -> 89.209 MB. [2025-11-12T23:39:47.731Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:39:49.992Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:39:52.271Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:39:54.560Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:39:55.724Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:39:57.400Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:39:59.093Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:40:00.251Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:40:00.584Z] 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. [2025-11-12T23:40:00.584Z] The best model improves the baseline by 14.34%. [2025-11-12T23:40:00.916Z] Top recommended movies for user id 72: [2025-11-12T23:40:00.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:40:00.916Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:40:00.916Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:40:00.916Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:40:00.916Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:40:00.916Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15655.445 ms) ====== [2025-11-12T23:40:00.916Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-12T23:40:00.916Z] GC before operation: completed in 142.723 ms, heap usage 305.741 MB -> 89.110 MB. [2025-11-12T23:40:03.381Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:40:05.661Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:40:07.987Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:40:10.595Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:40:11.754Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:40:12.924Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:40:14.599Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:40:15.801Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:40:16.139Z] 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. [2025-11-12T23:40:16.139Z] The best model improves the baseline by 14.34%. [2025-11-12T23:40:16.473Z] Top recommended movies for user id 72: [2025-11-12T23:40:16.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:40:16.474Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:40:16.474Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:40:16.474Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:40:16.474Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:40:16.474Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15390.174 ms) ====== [2025-11-12T23:40:16.474Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-12T23:40:16.474Z] GC before operation: completed in 145.724 ms, heap usage 304.628 MB -> 89.182 MB. [2025-11-12T23:40:18.758Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:40:21.097Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:40:24.157Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:40:25.837Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:40:27.580Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:40:28.736Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:40:30.409Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:40:31.574Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:40:31.904Z] 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. [2025-11-12T23:40:31.904Z] The best model improves the baseline by 14.34%. [2025-11-12T23:40:32.237Z] Top recommended movies for user id 72: [2025-11-12T23:40:32.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:40:32.237Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:40:32.237Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:40:32.237Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:40:32.237Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:40:32.237Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15655.530 ms) ====== [2025-11-12T23:40:32.237Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-12T23:40:32.237Z] GC before operation: completed in 148.763 ms, heap usage 305.340 MB -> 89.003 MB. [2025-11-12T23:40:34.515Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:40:36.786Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:40:39.760Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:40:41.440Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:40:43.182Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:40:44.340Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:40:46.105Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:40:47.260Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:40:47.593Z] 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. [2025-11-12T23:40:47.593Z] The best model improves the baseline by 14.34%. [2025-11-12T23:40:47.923Z] Top recommended movies for user id 72: [2025-11-12T23:40:47.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:40:47.923Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:40:47.923Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:40:47.923Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:40:47.923Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:40:47.923Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15460.994 ms) ====== [2025-11-12T23:40:47.923Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-12T23:40:47.923Z] GC before operation: completed in 146.142 ms, heap usage 305.529 MB -> 89.284 MB. [2025-11-12T23:40:50.195Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:40:52.493Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:40:55.477Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:40:57.162Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:40:58.836Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:41:00.001Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:41:01.803Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:41:02.957Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:41:03.291Z] 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. [2025-11-12T23:41:03.291Z] The best model improves the baseline by 14.34%. [2025-11-12T23:41:03.291Z] Top recommended movies for user id 72: [2025-11-12T23:41:03.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:41:03.291Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:41:03.291Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:41:03.291Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:41:03.291Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:41:03.291Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15380.344 ms) ====== [2025-11-12T23:41:03.623Z] ----------------------------------- [2025-11-12T23:41:03.623Z] renaissance-movie-lens_0_PASSED [2025-11-12T23:41:03.623Z] ----------------------------------- [2025-11-12T23:41:03.623Z] [2025-11-12T23:41:03.623Z] TEST TEARDOWN: [2025-11-12T23:41:03.623Z] Nothing to be done for teardown. [2025-11-12T23:41:03.623Z] renaissance-movie-lens_0 Finish Time: Wed Nov 12 23:41:03 2025 Epoch Time (ms): 1762990863538