[2025-07-01T00:45:08.221Z] Running test renaissance-movie-lens_0 ... [2025-07-01T00:45:08.221Z] =============================================== [2025-07-01T00:45:08.547Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 00:45:08 2025 Epoch Time (ms): 1751330708157 [2025-07-01T00:45:08.547Z] variation: NoOptions [2025-07-01T00:45:08.547Z] JVM_OPTIONS: [2025-07-01T00:45:08.547Z] { \ [2025-07-01T00:45:08.547Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T00:45:08.547Z] echo "Nothing to be done for setup."; \ [2025-07-01T00:45:08.547Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513292438879\\renaissance-movie-lens_0"; \ [2025-07-01T00:45:08.547Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513292438879\\renaissance-movie-lens_0"; \ [2025-07-01T00:45:08.547Z] echo ""; echo "TESTING:"; \ [2025-07-01T00:45:08.547Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513292438879\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-07-01T00:45:08.547Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513292438879\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T00:45:08.547Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T00:45:08.547Z] echo "Nothing to be done for teardown."; \ [2025-07-01T00:45:08.547Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513292438879\\TestTargetResult"; [2025-07-01T00:45:08.877Z] [2025-07-01T00:45:08.878Z] TEST SETUP: [2025-07-01T00:45:08.878Z] Nothing to be done for setup. [2025-07-01T00:45:08.878Z] [2025-07-01T00:45:08.878Z] TESTING: [2025-07-01T00:45:21.767Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-01T00:45:27.584Z] 00:45:27.097 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-01T00:45:29.833Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T00:45:29.833Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T00:45:29.833Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T00:45:30.189Z] GC before operation: completed in 137.393 ms, heap usage 417.015 MB -> 76.223 MB. [2025-07-01T00:45:40.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:45:49.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:45:56.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:46:05.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:46:09.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:46:14.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:46:18.781Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:46:22.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:46:23.141Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:46:23.141Z] The best model improves the baseline by 14.52%. [2025-07-01T00:46:23.483Z] Top recommended movies for user id 72: [2025-07-01T00:46:23.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:46:23.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:46:23.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:46:23.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:46:23.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:46:23.483Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (53510.530 ms) ====== [2025-07-01T00:46:23.483Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T00:46:23.813Z] GC before operation: completed in 127.890 ms, heap usage 239.704 MB -> 96.969 MB. [2025-07-01T00:46:30.927Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:46:38.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:46:45.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:46:52.358Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:46:56.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:46:59.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:47:04.422Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:47:08.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:47:08.796Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:47:08.796Z] The best model improves the baseline by 14.52%. [2025-07-01T00:47:09.139Z] Top recommended movies for user id 72: [2025-07-01T00:47:09.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:47:09.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:47:09.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:47:09.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:47:09.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:47:09.139Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (45354.247 ms) ====== [2025-07-01T00:47:09.139Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T00:47:09.139Z] GC before operation: completed in 98.609 ms, heap usage 291.232 MB -> 89.202 MB. [2025-07-01T00:47:16.301Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:47:23.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:47:30.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:47:37.612Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:47:40.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:47:44.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:47:48.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:47:52.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:47:52.827Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:47:52.827Z] The best model improves the baseline by 14.52%. [2025-07-01T00:47:53.163Z] Top recommended movies for user id 72: [2025-07-01T00:47:53.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:47:53.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:47:53.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:47:53.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:47:53.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:47:53.163Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (44113.907 ms) ====== [2025-07-01T00:47:53.163Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T00:47:53.495Z] GC before operation: completed in 98.236 ms, heap usage 174.452 MB -> 89.733 MB. [2025-07-01T00:48:00.606Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:48:07.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:48:14.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:48:21.988Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:48:24.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:48:28.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:48:33.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:48:36.026Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:48:36.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:48:36.804Z] The best model improves the baseline by 14.52%. [2025-07-01T00:48:36.804Z] Top recommended movies for user id 72: [2025-07-01T00:48:36.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:48:36.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:48:36.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:48:36.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:48:36.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:48:36.804Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (43567.382 ms) ====== [2025-07-01T00:48:36.804Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T00:48:37.130Z] GC before operation: completed in 103.024 ms, heap usage 264.949 MB -> 90.100 MB. [2025-07-01T00:48:44.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:48:50.042Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:48:58.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:49:04.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:49:08.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:49:11.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:49:15.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:49:19.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:49:19.743Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:49:19.743Z] The best model improves the baseline by 14.52%. [2025-07-01T00:49:19.743Z] Top recommended movies for user id 72: [2025-07-01T00:49:19.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:49:19.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:49:19.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:49:19.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:49:19.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:49:19.743Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (42814.969 ms) ====== [2025-07-01T00:49:19.743Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T00:49:20.067Z] GC before operation: completed in 109.303 ms, heap usage 779.145 MB -> 95.082 MB. [2025-07-01T00:49:27.180Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:49:32.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:49:40.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:49:47.216Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:49:50.920Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:49:54.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:49:58.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:50:01.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:50:02.683Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:50:02.683Z] The best model improves the baseline by 14.52%. [2025-07-01T00:50:03.016Z] Top recommended movies for user id 72: [2025-07-01T00:50:03.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:50:03.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:50:03.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:50:03.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:50:03.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:50:03.016Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (42994.275 ms) ====== [2025-07-01T00:50:03.016Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T00:50:03.016Z] GC before operation: completed in 102.412 ms, heap usage 119.347 MB -> 90.253 MB. [2025-07-01T00:50:10.162Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:50:15.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:50:24.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:50:30.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:50:33.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:50:38.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:50:41.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:50:45.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:50:45.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:50:45.715Z] The best model improves the baseline by 14.52%. [2025-07-01T00:50:46.074Z] Top recommended movies for user id 72: [2025-07-01T00:50:46.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:50:46.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:50:46.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:50:46.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:50:46.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:50:46.074Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (43018.351 ms) ====== [2025-07-01T00:50:46.074Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T00:50:46.074Z] GC before operation: completed in 107.413 ms, heap usage 128.580 MB -> 90.157 MB. [2025-07-01T00:50:53.193Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:50:58.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:51:07.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:51:13.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:51:16.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:51:20.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:51:24.697Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:51:28.371Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:51:28.692Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:51:28.692Z] The best model improves the baseline by 14.52%. [2025-07-01T00:51:29.045Z] Top recommended movies for user id 72: [2025-07-01T00:51:29.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:51:29.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:51:29.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:51:29.045Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:51:29.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:51:29.045Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (42789.361 ms) ====== [2025-07-01T00:51:29.045Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T00:51:29.045Z] GC before operation: completed in 96.632 ms, heap usage 365.791 MB -> 90.710 MB. [2025-07-01T00:51:36.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:51:41.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:51:49.071Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:51:56.191Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:51:59.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:52:03.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:52:07.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:52:11.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:52:11.371Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:52:11.371Z] The best model improves the baseline by 14.52%. [2025-07-01T00:52:11.699Z] Top recommended movies for user id 72: [2025-07-01T00:52:11.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:52:11.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:52:11.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:52:11.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:52:11.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:52:11.699Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (42744.356 ms) ====== [2025-07-01T00:52:11.699Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T00:52:12.032Z] GC before operation: completed in 93.598 ms, heap usage 178.902 MB -> 90.387 MB. [2025-07-01T00:52:19.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:52:24.902Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:52:32.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:52:39.218Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:52:42.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:52:45.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:52:50.426Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:52:54.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:52:54.101Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:52:54.101Z] The best model improves the baseline by 14.52%. [2025-07-01T00:52:54.428Z] Top recommended movies for user id 72: [2025-07-01T00:52:54.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:52:54.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:52:54.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:52:54.429Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:52:54.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:52:54.429Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (42511.987 ms) ====== [2025-07-01T00:52:54.429Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T00:52:54.429Z] GC before operation: completed in 96.034 ms, heap usage 215.220 MB -> 90.564 MB. [2025-07-01T00:53:01.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:53:07.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:53:14.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:53:21.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:53:24.432Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:53:28.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:53:32.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:53:35.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:53:36.030Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:53:36.370Z] The best model improves the baseline by 14.52%. [2025-07-01T00:53:36.370Z] Top recommended movies for user id 72: [2025-07-01T00:53:36.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:53:36.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:53:36.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:53:36.370Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:53:36.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:53:36.370Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (41951.016 ms) ====== [2025-07-01T00:53:36.370Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T00:53:36.370Z] GC before operation: completed in 98.688 ms, heap usage 625.900 MB -> 94.079 MB. [2025-07-01T00:53:43.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:53:49.291Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:53:56.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:54:03.528Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:54:06.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:54:10.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:54:14.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:54:17.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:54:18.300Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:54:18.300Z] The best model improves the baseline by 14.52%. [2025-07-01T00:54:18.638Z] Top recommended movies for user id 72: [2025-07-01T00:54:18.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:54:18.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:54:18.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:54:18.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:54:18.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:54:18.638Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (42018.205 ms) ====== [2025-07-01T00:54:18.638Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T00:54:18.638Z] GC before operation: completed in 93.027 ms, heap usage 191.249 MB -> 90.540 MB. [2025-07-01T00:54:25.753Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:54:31.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:54:38.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:54:45.833Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:54:48.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:54:53.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:54:57.072Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:55:00.762Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:55:00.762Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:55:01.086Z] The best model improves the baseline by 14.52%. [2025-07-01T00:55:01.086Z] Top recommended movies for user id 72: [2025-07-01T00:55:01.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:55:01.086Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:55:01.086Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:55:01.086Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:55:01.086Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:55:01.086Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42498.775 ms) ====== [2025-07-01T00:55:01.086Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T00:55:01.086Z] GC before operation: completed in 97.247 ms, heap usage 305.923 MB -> 90.825 MB. [2025-07-01T00:55:08.227Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:55:15.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:55:22.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:55:28.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:55:32.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:55:35.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:55:39.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:55:43.020Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:55:43.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:55:43.757Z] The best model improves the baseline by 14.52%. [2025-07-01T00:55:44.078Z] Top recommended movies for user id 72: [2025-07-01T00:55:44.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:55:44.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:55:44.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:55:44.078Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:55:44.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:55:44.078Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (42797.843 ms) ====== [2025-07-01T00:55:44.078Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T00:55:44.078Z] GC before operation: completed in 99.182 ms, heap usage 186.078 MB -> 90.512 MB. [2025-07-01T00:55:51.185Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:55:57.002Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:56:04.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:56:11.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:56:14.206Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:56:17.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:56:22.518Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:56:26.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:56:26.230Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:56:26.230Z] The best model improves the baseline by 14.52%. [2025-07-01T00:56:26.594Z] Top recommended movies for user id 72: [2025-07-01T00:56:26.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:56:26.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:56:26.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:56:26.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:56:26.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:56:26.594Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (42431.248 ms) ====== [2025-07-01T00:56:26.594Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T00:56:26.594Z] GC before operation: completed in 96.452 ms, heap usage 301.155 MB -> 90.797 MB. [2025-07-01T00:56:33.706Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:56:39.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:56:46.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:56:53.759Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:56:56.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:57:00.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:57:04.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:57:08.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:57:09.003Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:57:09.003Z] The best model improves the baseline by 14.52%. [2025-07-01T00:57:09.366Z] Top recommended movies for user id 72: [2025-07-01T00:57:09.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:57:09.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:57:09.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:57:09.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:57:09.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:57:09.367Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (42525.020 ms) ====== [2025-07-01T00:57:09.367Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T00:57:09.367Z] GC before operation: completed in 98.210 ms, heap usage 220.199 MB -> 90.465 MB. [2025-07-01T00:57:16.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:57:22.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:57:29.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:57:36.486Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:57:39.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:57:43.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:57:47.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:57:51.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:57:51.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:57:51.707Z] The best model improves the baseline by 14.52%. [2025-07-01T00:57:51.707Z] Top recommended movies for user id 72: [2025-07-01T00:57:51.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:57:51.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:57:51.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:57:51.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:57:51.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:57:51.707Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42478.944 ms) ====== [2025-07-01T00:57:51.707Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T00:57:51.707Z] GC before operation: completed in 94.109 ms, heap usage 366.830 MB -> 90.876 MB. [2025-07-01T00:57:58.844Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:58:04.631Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:58:11.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:58:18.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:58:21.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:58:25.396Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:58:30.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:58:33.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:58:34.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:58:34.127Z] The best model improves the baseline by 14.52%. [2025-07-01T00:58:34.127Z] Top recommended movies for user id 72: [2025-07-01T00:58:34.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:58:34.127Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:58:34.127Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:58:34.127Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:58:34.127Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:58:34.127Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (42336.780 ms) ====== [2025-07-01T00:58:34.127Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T00:58:34.439Z] GC before operation: completed in 99.759 ms, heap usage 295.304 MB -> 90.605 MB. [2025-07-01T00:58:41.549Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:58:47.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:58:54.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:59:01.538Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:59:04.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:59:08.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:59:12.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:59:16.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:59:16.447Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:59:16.447Z] The best model improves the baseline by 14.52%. [2025-07-01T00:59:16.790Z] Top recommended movies for user id 72: [2025-07-01T00:59:16.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:59:16.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:59:16.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:59:16.790Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:59:16.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:59:16.790Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (42554.270 ms) ====== [2025-07-01T00:59:16.790Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T00:59:17.113Z] GC before operation: completed in 97.409 ms, heap usage 162.785 MB -> 90.589 MB. [2025-07-01T00:59:24.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T00:59:29.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T00:59:37.110Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T00:59:44.240Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T00:59:47.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T00:59:50.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T00:59:55.396Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T00:59:58.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T00:59:58.627Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T00:59:58.954Z] The best model improves the baseline by 14.52%. [2025-07-01T00:59:58.954Z] Top recommended movies for user id 72: [2025-07-01T00:59:58.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T00:59:58.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T00:59:58.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T00:59:58.954Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T00:59:58.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T00:59:58.954Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (42067.867 ms) ====== [2025-07-01T00:59:59.651Z] ----------------------------------- [2025-07-01T00:59:59.651Z] renaissance-movie-lens_0_PASSED [2025-07-01T00:59:59.651Z] ----------------------------------- [2025-07-01T01:00:00.335Z] [2025-07-01T01:00:00.335Z] TEST TEARDOWN: [2025-07-01T01:00:00.335Z] Nothing to be done for teardown. [2025-07-01T01:00:00.335Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 01:00:00 2025 Epoch Time (ms): 1751331600060