[2025-12-24T23:19:00.787Z] Running test renaissance-movie-lens_0 ... [2025-12-24T23:19:00.787Z] =============================================== [2025-12-24T23:19:00.787Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 23:19:00 2025 Epoch Time (ms): 1766618340478 [2025-12-24T23:19:00.787Z] variation: NoOptions [2025-12-24T23:19:00.787Z] JVM_OPTIONS: [2025-12-24T23:19:00.787Z] { \ [2025-12-24T23:19:00.787Z] echo ""; echo "TEST SETUP:"; \ [2025-12-24T23:19:00.787Z] echo "Nothing to be done for setup."; \ [2025-12-24T23:19:00.787Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17666158943115/renaissance-movie-lens_0"; \ [2025-12-24T23:19:00.787Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17666158943115/renaissance-movie-lens_0"; \ [2025-12-24T23:19:00.787Z] echo ""; echo "TESTING:"; \ [2025-12-24T23:19:00.787Z] "/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_17666158943115/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-24T23:19:00.787Z] 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_17666158943115/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-24T23:19:00.787Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-24T23:19:00.787Z] echo "Nothing to be done for teardown."; \ [2025-12-24T23:19:00.787Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17666158943115/TestTargetResult"; [2025-12-24T23:19:00.787Z] [2025-12-24T23:19:00.787Z] TEST SETUP: [2025-12-24T23:19:00.787Z] Nothing to be done for setup. [2025-12-24T23:19:00.787Z] [2025-12-24T23:19:00.787Z] TESTING: [2025-12-24T23:19:06.759Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-24T23:19:14.133Z] 23:19:13.916 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-12-24T23:19:17.136Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-24T23:19:18.312Z] Training: 60056, validation: 20285, test: 19854 [2025-12-24T23:19:18.312Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-24T23:19:18.312Z] GC before operation: completed in 141.551 ms, heap usage 248.349 MB -> 75.823 MB. [2025-12-24T23:19:27.312Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:19:32.196Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:19:38.172Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:19:42.108Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:19:44.441Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:19:46.783Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:19:49.190Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:19:51.504Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:19:51.504Z] 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. [2025-12-24T23:19:51.504Z] The best model improves the baseline by 14.34%. [2025-12-24T23:19:51.844Z] Top recommended movies for user id 72: [2025-12-24T23:19:51.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:19:51.844Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:19:51.844Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:19:51.844Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:19:51.844Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:19:51.844Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33596.885 ms) ====== [2025-12-24T23:19:51.844Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-24T23:19:52.179Z] GC before operation: completed in 171.076 ms, heap usage 359.683 MB -> 91.250 MB. [2025-12-24T23:19:55.200Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:19:58.215Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:20:01.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:20:03.605Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:20:05.918Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:20:07.120Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:20:08.835Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:20:10.547Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:20:10.901Z] 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. [2025-12-24T23:20:10.901Z] The best model improves the baseline by 14.34%. [2025-12-24T23:20:11.242Z] Top recommended movies for user id 72: [2025-12-24T23:20:11.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:20:11.242Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:20:11.242Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:20:11.242Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:20:11.242Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:20:11.242Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19046.520 ms) ====== [2025-12-24T23:20:11.242Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-24T23:20:11.242Z] GC before operation: completed in 141.769 ms, heap usage 399.502 MB -> 88.231 MB. [2025-12-24T23:20:13.545Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:20:16.539Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:20:19.530Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:20:21.821Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:20:23.071Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:20:24.760Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:20:26.443Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:20:28.138Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:20:28.861Z] 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. [2025-12-24T23:20:28.861Z] The best model improves the baseline by 14.34%. [2025-12-24T23:20:28.861Z] Top recommended movies for user id 72: [2025-12-24T23:20:28.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:20:28.861Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:20:28.861Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:20:28.861Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:20:28.861Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:20:28.861Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17713.428 ms) ====== [2025-12-24T23:20:28.861Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-24T23:20:29.194Z] GC before operation: completed in 147.006 ms, heap usage 216.079 MB -> 88.555 MB. [2025-12-24T23:20:31.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:20:33.787Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:20:36.787Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:20:39.082Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:20:40.795Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:20:42.484Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:20:43.750Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:20:45.434Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:20:45.768Z] 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. [2025-12-24T23:20:45.768Z] The best model improves the baseline by 14.34%. [2025-12-24T23:20:45.768Z] Top recommended movies for user id 72: [2025-12-24T23:20:45.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:20:45.768Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:20:45.768Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:20:45.768Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:20:45.768Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:20:45.768Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16697.345 ms) ====== [2025-12-24T23:20:45.768Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-24T23:20:45.768Z] GC before operation: completed in 154.546 ms, heap usage 310.669 MB -> 89.115 MB. [2025-12-24T23:20:48.759Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:20:51.042Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:20:53.325Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:20:55.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:20:57.297Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:20:59.006Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:21:00.701Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:21:01.880Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:21:02.228Z] 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. [2025-12-24T23:21:02.228Z] The best model improves the baseline by 14.34%. [2025-12-24T23:21:02.564Z] Top recommended movies for user id 72: [2025-12-24T23:21:02.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:21:02.565Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:21:02.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:21:02.565Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:21:02.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:21:02.565Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16554.907 ms) ====== [2025-12-24T23:21:02.565Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-24T23:21:02.565Z] GC before operation: completed in 160.111 ms, heap usage 312.707 MB -> 88.975 MB. [2025-12-24T23:21:04.979Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:21:07.288Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:21:10.282Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:21:12.568Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:21:13.730Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:21:15.415Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:21:17.094Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:21:18.779Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:21:18.779Z] 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. [2025-12-24T23:21:18.779Z] The best model improves the baseline by 14.34%. [2025-12-24T23:21:18.779Z] Top recommended movies for user id 72: [2025-12-24T23:21:18.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:21:18.779Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:21:18.779Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:21:18.779Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:21:18.779Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:21:18.779Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16261.282 ms) ====== [2025-12-24T23:21:18.779Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-24T23:21:19.118Z] GC before operation: completed in 144.698 ms, heap usage 314.181 MB -> 89.311 MB. [2025-12-24T23:21:21.438Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:21:23.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:21:26.099Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:21:28.401Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:21:30.138Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:21:31.871Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:21:33.623Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:21:35.037Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:21:35.037Z] 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. [2025-12-24T23:21:35.428Z] The best model improves the baseline by 14.34%. [2025-12-24T23:21:35.428Z] Top recommended movies for user id 72: [2025-12-24T23:21:35.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:21:35.428Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:21:35.428Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:21:35.428Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:21:35.428Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:21:35.428Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16309.121 ms) ====== [2025-12-24T23:21:35.428Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-24T23:21:35.428Z] GC before operation: completed in 145.505 ms, heap usage 262.879 MB -> 89.163 MB. [2025-12-24T23:21:37.830Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:21:40.325Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:21:42.720Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:21:45.176Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:21:46.431Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:21:48.203Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:21:49.419Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:21:51.199Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:21:51.199Z] 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. [2025-12-24T23:21:51.199Z] The best model improves the baseline by 14.34%. [2025-12-24T23:21:51.561Z] Top recommended movies for user id 72: [2025-12-24T23:21:51.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:21:51.561Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:21:51.561Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:21:51.561Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:21:51.561Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:21:51.561Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15946.293 ms) ====== [2025-12-24T23:21:51.561Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-24T23:21:51.561Z] GC before operation: completed in 145.616 ms, heap usage 568.582 MB -> 93.141 MB. [2025-12-24T23:21:53.919Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:21:56.274Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:21:58.598Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:22:01.638Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:22:03.322Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:22:04.575Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:22:06.260Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:22:07.437Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:22:07.774Z] 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. [2025-12-24T23:22:07.774Z] The best model improves the baseline by 14.34%. [2025-12-24T23:22:07.774Z] Top recommended movies for user id 72: [2025-12-24T23:22:07.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:22:07.774Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:22:07.774Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:22:07.774Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:22:07.774Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:22:07.774Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16265.609 ms) ====== [2025-12-24T23:22:07.774Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-24T23:22:08.112Z] GC before operation: completed in 148.115 ms, heap usage 276.746 MB -> 89.360 MB. [2025-12-24T23:22:10.406Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:22:12.699Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:22:15.702Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:22:17.394Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:22:19.081Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:22:20.248Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:22:21.941Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:22:23.696Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:22:23.696Z] 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. [2025-12-24T23:22:23.696Z] The best model improves the baseline by 14.34%. [2025-12-24T23:22:24.030Z] Top recommended movies for user id 72: [2025-12-24T23:22:24.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:22:24.030Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:22:24.030Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:22:24.030Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:22:24.030Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:22:24.030Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15860.670 ms) ====== [2025-12-24T23:22:24.030Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-24T23:22:24.030Z] GC before operation: completed in 150.192 ms, heap usage 264.482 MB -> 89.543 MB. [2025-12-24T23:22:26.323Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:22:28.610Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:22:30.902Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:22:33.186Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:22:34.865Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:22:36.030Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:22:37.719Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:22:39.401Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:22:39.401Z] 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. [2025-12-24T23:22:39.401Z] The best model improves the baseline by 14.34%. [2025-12-24T23:22:39.401Z] Top recommended movies for user id 72: [2025-12-24T23:22:39.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:22:39.401Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:22:39.401Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:22:39.401Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:22:39.401Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:22:39.401Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15503.329 ms) ====== [2025-12-24T23:22:39.401Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-24T23:22:39.737Z] GC before operation: completed in 144.368 ms, heap usage 263.626 MB -> 89.213 MB. [2025-12-24T23:22:42.069Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:22:44.456Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:22:46.744Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:22:49.039Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:22:50.761Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:22:51.932Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:22:53.617Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:22:54.788Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:22:55.128Z] 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. [2025-12-24T23:22:55.128Z] The best model improves the baseline by 14.34%. [2025-12-24T23:22:55.469Z] Top recommended movies for user id 72: [2025-12-24T23:22:55.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:22:55.469Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:22:55.469Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:22:55.469Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:22:55.469Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:22:55.469Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15726.504 ms) ====== [2025-12-24T23:22:55.469Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-24T23:22:55.469Z] GC before operation: completed in 143.792 ms, heap usage 312.234 MB -> 89.634 MB. [2025-12-24T23:22:57.776Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:23:00.063Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:23:03.053Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:23:04.812Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:23:06.492Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:23:07.661Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:23:09.347Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:23:10.513Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:23:10.848Z] 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. [2025-12-24T23:23:10.848Z] The best model improves the baseline by 14.34%. [2025-12-24T23:23:11.184Z] Top recommended movies for user id 72: [2025-12-24T23:23:11.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:23:11.184Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:23:11.184Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:23:11.184Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:23:11.184Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:23:11.184Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15472.621 ms) ====== [2025-12-24T23:23:11.184Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-24T23:23:11.184Z] GC before operation: completed in 146.368 ms, heap usage 312.255 MB -> 89.667 MB. [2025-12-24T23:23:13.474Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:23:15.762Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:23:18.809Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:23:20.493Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:23:22.187Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:23:23.439Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:23:24.615Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:23:26.356Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:23:26.356Z] 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. [2025-12-24T23:23:26.356Z] The best model improves the baseline by 14.34%. [2025-12-24T23:23:26.356Z] Top recommended movies for user id 72: [2025-12-24T23:23:26.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:23:26.356Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:23:26.356Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:23:26.356Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:23:26.356Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:23:26.356Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15349.522 ms) ====== [2025-12-24T23:23:26.356Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-24T23:23:26.693Z] GC before operation: completed in 146.055 ms, heap usage 268.200 MB -> 89.436 MB. [2025-12-24T23:23:28.984Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:23:31.271Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:23:33.563Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:23:35.939Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:23:37.108Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:23:38.808Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:23:39.983Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:23:41.151Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:23:41.493Z] 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. [2025-12-24T23:23:41.493Z] The best model improves the baseline by 14.34%. [2025-12-24T23:23:41.827Z] Top recommended movies for user id 72: [2025-12-24T23:23:41.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:23:41.827Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:23:41.827Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:23:41.827Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:23:41.827Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:23:41.827Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15067.890 ms) ====== [2025-12-24T23:23:41.827Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-24T23:23:41.827Z] GC before operation: completed in 147.379 ms, heap usage 450.360 MB -> 89.853 MB. [2025-12-24T23:23:44.197Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:23:46.490Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:23:48.785Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:23:51.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:23:52.302Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:23:53.491Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:23:55.193Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:23:56.883Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:23:56.883Z] 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. [2025-12-24T23:23:56.883Z] The best model improves the baseline by 14.34%. [2025-12-24T23:23:57.272Z] Top recommended movies for user id 72: [2025-12-24T23:23:57.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:23:57.272Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:23:57.272Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:23:57.272Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:23:57.272Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:23:57.272Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15223.750 ms) ====== [2025-12-24T23:23:57.272Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-24T23:23:57.272Z] GC before operation: completed in 149.035 ms, heap usage 572.889 MB -> 93.170 MB. [2025-12-24T23:23:59.556Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:24:01.839Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:24:04.153Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:24:06.458Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:24:07.627Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:24:09.312Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:24:10.475Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:24:12.161Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:24:12.161Z] 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. [2025-12-24T23:24:12.496Z] The best model improves the baseline by 14.34%. [2025-12-24T23:24:12.496Z] Top recommended movies for user id 72: [2025-12-24T23:24:12.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:24:12.496Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:24:12.496Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:24:12.496Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:24:12.496Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:24:12.496Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15213.279 ms) ====== [2025-12-24T23:24:12.496Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-24T23:24:12.496Z] GC before operation: completed in 144.291 ms, heap usage 403.832 MB -> 89.836 MB. [2025-12-24T23:24:14.789Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:24:17.076Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:24:20.072Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:24:21.754Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:24:23.508Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:24:24.670Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:24:26.351Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:24:27.534Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:24:27.871Z] 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. [2025-12-24T23:24:27.871Z] The best model improves the baseline by 14.34%. [2025-12-24T23:24:27.871Z] Top recommended movies for user id 72: [2025-12-24T23:24:27.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:24:27.871Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:24:27.871Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:24:27.871Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:24:27.871Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:24:27.871Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15357.669 ms) ====== [2025-12-24T23:24:27.871Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-24T23:24:28.207Z] GC before operation: completed in 145.637 ms, heap usage 282.965 MB -> 89.507 MB. [2025-12-24T23:24:30.490Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:24:32.780Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:24:35.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:24:37.361Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:24:38.527Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:24:40.213Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:24:41.388Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:24:42.567Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:24:43.003Z] 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. [2025-12-24T23:24:43.003Z] The best model improves the baseline by 14.34%. [2025-12-24T23:24:43.003Z] Top recommended movies for user id 72: [2025-12-24T23:24:43.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:24:43.003Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:24:43.003Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:24:43.003Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:24:43.003Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:24:43.003Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15042.642 ms) ====== [2025-12-24T23:24:43.003Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-24T23:24:43.346Z] GC before operation: completed in 151.929 ms, heap usage 569.546 MB -> 93.127 MB. [2025-12-24T23:24:45.685Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:24:47.968Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:24:50.248Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:24:52.531Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:24:53.696Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:24:54.863Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:24:56.551Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:24:57.717Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:24:58.053Z] 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. [2025-12-24T23:24:58.053Z] The best model improves the baseline by 14.34%. [2025-12-24T23:24:58.053Z] Top recommended movies for user id 72: [2025-12-24T23:24:58.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T23:24:58.053Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T23:24:58.053Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T23:24:58.053Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T23:24:58.053Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T23:24:58.053Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14881.706 ms) ====== [2025-12-24T23:24:58.782Z] ----------------------------------- [2025-12-24T23:24:58.782Z] renaissance-movie-lens_0_PASSED [2025-12-24T23:24:58.782Z] ----------------------------------- [2025-12-24T23:24:58.782Z] [2025-12-24T23:24:58.782Z] TEST TEARDOWN: [2025-12-24T23:24:58.782Z] Nothing to be done for teardown. [2025-12-24T23:24:58.782Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 23:24:58 2025 Epoch Time (ms): 1766618698441