[2026-01-31T04:54:26.936Z] Running test renaissance-movie-lens_0 ... [2026-01-31T04:54:26.936Z] =============================================== [2026-01-31T04:54:26.936Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 04:54:26 2026 Epoch Time (ms): 1769835266898 [2026-01-31T04:54:27.281Z] variation: NoOptions [2026-01-31T04:54:27.281Z] JVM_OPTIONS: [2026-01-31T04:54:27.281Z] { \ [2026-01-31T04:54:27.281Z] echo ""; echo "TEST SETUP:"; \ [2026-01-31T04:54:27.281Z] echo "Nothing to be done for setup."; \ [2026-01-31T04:54:27.281Z] mkdir -p "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17698341717210\\renaissance-movie-lens_0"; \ [2026-01-31T04:54:27.281Z] cd "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17698341717210\\renaissance-movie-lens_0"; \ [2026-01-31T04:54:27.281Z] echo ""; echo "TESTING:"; \ [2026-01-31T04:54:27.281Z] "c:/workspace/workspace/Test_openjdk11_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:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17698341717210\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-31T04:54:27.281Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17698341717210\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-31T04:54:27.281Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-31T04:54:27.281Z] echo "Nothing to be done for teardown."; \ [2026-01-31T04:54:27.281Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17698341717210\\TestTargetResult"; [2026-01-31T04:54:27.281Z] [2026-01-31T04:54:27.281Z] TEST SETUP: [2026-01-31T04:54:27.281Z] Nothing to be done for setup. [2026-01-31T04:54:27.281Z] [2026-01-31T04:54:27.281Z] TESTING: [2026-01-31T04:54:40.375Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-31T04:54:46.669Z] 04:54:46.250 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. [2026-01-31T04:54:48.590Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-31T04:54:48.965Z] Training: 60056, validation: 20285, test: 19854 [2026-01-31T04:54:48.965Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-31T04:54:48.965Z] GC before operation: completed in 180.159 ms, heap usage 432.015 MB -> 74.920 MB. [2026-01-31T04:55:02.328Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T04:55:09.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T04:55:18.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T04:55:25.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T04:55:30.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T04:55:34.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T04:55:39.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T04:55:43.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T04:55:43.899Z] 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. [2026-01-31T04:55:43.899Z] The best model improves the baseline by 14.52%. [2026-01-31T04:55:44.309Z] Top recommended movies for user id 72: [2026-01-31T04:55:44.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T04:55:44.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T04:55:44.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T04:55:44.310Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T04:55:44.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T04:55:44.310Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (55118.198 ms) ====== [2026-01-31T04:55:44.310Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-31T04:55:44.310Z] GC before operation: completed in 112.220 ms, heap usage 287.608 MB -> 87.162 MB. [2026-01-31T04:55:51.573Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T04:55:58.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T04:56:07.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T04:56:16.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T04:56:19.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T04:56:24.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T04:56:29.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T04:56:32.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T04:56:33.346Z] 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. [2026-01-31T04:56:33.346Z] The best model improves the baseline by 14.52%. [2026-01-31T04:56:33.346Z] Top recommended movies for user id 72: [2026-01-31T04:56:33.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T04:56:33.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T04:56:33.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T04:56:33.346Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T04:56:33.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T04:56:33.346Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (49210.966 ms) ====== [2026-01-31T04:56:33.346Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-31T04:56:33.701Z] GC before operation: completed in 120.260 ms, heap usage 334.174 MB -> 88.100 MB. [2026-01-31T04:56:41.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T04:56:48.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T04:56:57.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T04:57:04.490Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T04:57:08.307Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T04:57:13.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T04:57:17.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T04:57:21.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T04:57:21.953Z] 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. [2026-01-31T04:57:21.953Z] The best model improves the baseline by 14.52%. [2026-01-31T04:57:22.296Z] Top recommended movies for user id 72: [2026-01-31T04:57:22.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T04:57:22.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T04:57:22.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T04:57:22.296Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T04:57:22.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T04:57:22.296Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (48820.215 ms) ====== [2026-01-31T04:57:22.296Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-31T04:57:22.296Z] GC before operation: completed in 104.738 ms, heap usage 236.764 MB -> 88.620 MB. [2026-01-31T04:57:29.558Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T04:57:38.439Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T04:57:45.753Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T04:57:53.011Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T04:57:57.802Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T04:58:02.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T04:58:06.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T04:58:10.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T04:58:10.874Z] 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. [2026-01-31T04:58:10.874Z] The best model improves the baseline by 14.52%. [2026-01-31T04:58:10.874Z] Top recommended movies for user id 72: [2026-01-31T04:58:10.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T04:58:10.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T04:58:10.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T04:58:10.874Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T04:58:10.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T04:58:10.874Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (48497.069 ms) ====== [2026-01-31T04:58:10.874Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-31T04:58:11.265Z] GC before operation: completed in 121.961 ms, heap usage 169.999 MB -> 88.874 MB. [2026-01-31T04:58:18.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T04:58:25.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T04:58:34.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T04:58:41.969Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T04:58:45.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T04:58:49.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T04:58:54.313Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T04:58:58.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T04:58:58.493Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T04:58:58.493Z] The best model improves the baseline by 14.52%. [2026-01-31T04:58:58.836Z] Top recommended movies for user id 72: [2026-01-31T04:58:58.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T04:58:58.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T04:58:58.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T04:58:58.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T04:58:58.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T04:58:58.836Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (47779.779 ms) ====== [2026-01-31T04:58:58.836Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-31T04:58:58.836Z] GC before operation: completed in 133.737 ms, heap usage 204.144 MB -> 88.813 MB. [2026-01-31T04:59:06.124Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T04:59:13.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T04:59:20.722Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T04:59:27.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T04:59:31.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T04:59:36.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T04:59:40.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T04:59:44.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T04:59:44.869Z] 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. [2026-01-31T04:59:44.869Z] The best model improves the baseline by 14.52%. [2026-01-31T04:59:45.277Z] Top recommended movies for user id 72: [2026-01-31T04:59:45.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T04:59:45.277Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T04:59:45.277Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T04:59:45.277Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T04:59:45.277Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T04:59:45.277Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (46112.058 ms) ====== [2026-01-31T04:59:45.277Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-31T04:59:45.277Z] GC before operation: completed in 160.094 ms, heap usage 390.041 MB -> 89.377 MB. [2026-01-31T04:59:52.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T04:59:59.803Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:00:08.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:00:14.633Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:00:19.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:00:23.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:00:27.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:00:31.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:00:31.657Z] 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. [2026-01-31T05:00:31.657Z] The best model improves the baseline by 14.52%. [2026-01-31T05:00:32.002Z] Top recommended movies for user id 72: [2026-01-31T05:00:32.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:00:32.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:00:32.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:00:32.002Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:00:32.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:00:32.002Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (46696.205 ms) ====== [2026-01-31T05:00:32.002Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-31T05:00:32.002Z] GC before operation: completed in 105.914 ms, heap usage 181.857 MB -> 89.082 MB. [2026-01-31T05:00:39.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:00:46.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:00:53.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:00:59.689Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:01:04.452Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:01:07.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:01:12.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:01:16.026Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:01:16.364Z] 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. [2026-01-31T05:01:16.364Z] The best model improves the baseline by 14.52%. [2026-01-31T05:01:16.706Z] Top recommended movies for user id 72: [2026-01-31T05:01:16.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:01:16.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:01:16.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:01:16.706Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:01:16.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:01:16.706Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (44550.393 ms) ====== [2026-01-31T05:01:16.706Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-31T05:01:16.706Z] GC before operation: completed in 114.524 ms, heap usage 136.120 MB -> 89.181 MB. [2026-01-31T05:01:23.991Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:01:31.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:01:40.146Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:01:47.409Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:01:50.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:01:55.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:01:58.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:02:03.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:02:03.690Z] 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. [2026-01-31T05:02:03.690Z] The best model improves the baseline by 14.52%. [2026-01-31T05:02:04.045Z] Top recommended movies for user id 72: [2026-01-31T05:02:04.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:02:04.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:02:04.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:02:04.045Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:02:04.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:02:04.045Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (47182.879 ms) ====== [2026-01-31T05:02:04.045Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-31T05:02:04.045Z] GC before operation: completed in 102.113 ms, heap usage 215.389 MB -> 89.139 MB. [2026-01-31T05:02:11.293Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:02:18.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:02:27.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:02:33.351Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:02:38.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:02:41.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:02:46.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:02:50.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:02:51.170Z] 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. [2026-01-31T05:02:51.170Z] The best model improves the baseline by 14.52%. [2026-01-31T05:02:51.170Z] Top recommended movies for user id 72: [2026-01-31T05:02:51.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:02:51.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:02:51.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:02:51.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:02:51.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:02:51.171Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (47194.364 ms) ====== [2026-01-31T05:02:51.171Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-31T05:02:51.561Z] GC before operation: completed in 158.679 ms, heap usage 164.078 MB -> 89.353 MB. [2026-01-31T05:02:58.812Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:03:06.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:03:15.015Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:03:22.312Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:03:26.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:03:29.888Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:03:34.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:03:38.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:03:38.500Z] 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. [2026-01-31T05:03:38.500Z] The best model improves the baseline by 14.52%. [2026-01-31T05:03:38.846Z] Top recommended movies for user id 72: [2026-01-31T05:03:38.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:03:38.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:03:38.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:03:38.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:03:38.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:03:38.847Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (47521.647 ms) ====== [2026-01-31T05:03:38.847Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-31T05:03:38.847Z] GC before operation: completed in 114.858 ms, heap usage 269.782 MB -> 89.174 MB. [2026-01-31T05:03:47.787Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:03:55.017Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:04:02.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:04:09.544Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:04:13.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:04:17.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:04:21.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:04:26.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:04:26.696Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T05:04:26.696Z] The best model improves the baseline by 14.52%. [2026-01-31T05:04:27.079Z] Top recommended movies for user id 72: [2026-01-31T05:04:27.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:04:27.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:04:27.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:04:27.079Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:04:27.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:04:27.079Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (47878.919 ms) ====== [2026-01-31T05:04:27.079Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-31T05:04:27.079Z] GC before operation: completed in 140.503 ms, heap usage 201.018 MB -> 89.283 MB. [2026-01-31T05:04:34.335Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:04:41.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:04:48.888Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:04:56.172Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:04:59.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:05:04.721Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:05:09.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:05:13.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:05:13.665Z] 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. [2026-01-31T05:05:13.665Z] The best model improves the baseline by 14.52%. [2026-01-31T05:05:13.665Z] Top recommended movies for user id 72: [2026-01-31T05:05:13.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:05:13.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:05:13.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:05:13.665Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:05:13.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:05:13.666Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46703.656 ms) ====== [2026-01-31T05:05:13.666Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-31T05:05:14.060Z] GC before operation: completed in 133.713 ms, heap usage 343.233 MB -> 89.530 MB. [2026-01-31T05:05:21.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:05:30.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:05:39.150Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:05:46.383Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:05:50.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:05:53.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:05:58.750Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:06:03.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:06:03.493Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T05:06:03.493Z] The best model improves the baseline by 14.52%. [2026-01-31T05:06:03.846Z] Top recommended movies for user id 72: [2026-01-31T05:06:03.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:06:03.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:06:03.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:06:03.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:06:03.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:06:03.846Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49864.362 ms) ====== [2026-01-31T05:06:03.846Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-31T05:06:03.846Z] GC before operation: completed in 106.577 ms, heap usage 217.965 MB -> 89.195 MB. [2026-01-31T05:06:11.151Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:06:18.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:06:25.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:06:34.665Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:06:37.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:06:42.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:06:46.167Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:06:50.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:06:50.971Z] 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. [2026-01-31T05:06:50.971Z] The best model improves the baseline by 14.52%. [2026-01-31T05:06:50.971Z] Top recommended movies for user id 72: [2026-01-31T05:06:50.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:06:50.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:06:50.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:06:50.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:06:50.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:06:50.971Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (47220.479 ms) ====== [2026-01-31T05:06:50.971Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-31T05:06:51.364Z] GC before operation: completed in 117.652 ms, heap usage 242.086 MB -> 89.453 MB. [2026-01-31T05:06:58.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:07:05.870Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:07:14.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:07:21.979Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:07:25.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:07:30.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:07:35.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:07:39.044Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:07:39.839Z] 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. [2026-01-31T05:07:39.839Z] The best model improves the baseline by 14.52%. [2026-01-31T05:07:40.219Z] Top recommended movies for user id 72: [2026-01-31T05:07:40.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:07:40.219Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:07:40.219Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:07:40.219Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:07:40.219Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:07:40.219Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48763.613 ms) ====== [2026-01-31T05:07:40.219Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-31T05:07:40.219Z] GC before operation: completed in 115.834 ms, heap usage 313.347 MB -> 89.442 MB. [2026-01-31T05:07:47.490Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:07:54.775Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:08:03.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:08:10.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:08:14.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:08:19.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:08:24.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:08:27.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:08:28.363Z] 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. [2026-01-31T05:08:28.363Z] The best model improves the baseline by 14.52%. [2026-01-31T05:08:28.363Z] Top recommended movies for user id 72: [2026-01-31T05:08:28.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:08:28.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:08:28.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:08:28.363Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:08:28.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:08:28.363Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48387.929 ms) ====== [2026-01-31T05:08:28.363Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-31T05:08:28.741Z] GC before operation: completed in 132.861 ms, heap usage 236.482 MB -> 89.372 MB. [2026-01-31T05:08:35.999Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:08:44.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:08:52.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:08:59.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:09:04.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:09:07.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:09:12.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:09:17.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:09:17.581Z] 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. [2026-01-31T05:09:17.581Z] The best model improves the baseline by 14.52%. [2026-01-31T05:09:17.581Z] Top recommended movies for user id 72: [2026-01-31T05:09:17.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:09:17.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:09:17.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:09:17.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:09:17.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:09:17.581Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49091.761 ms) ====== [2026-01-31T05:09:17.581Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-31T05:09:17.935Z] GC before operation: completed in 112.723 ms, heap usage 315.697 MB -> 89.350 MB. [2026-01-31T05:09:25.204Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:09:32.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:09:41.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:09:47.372Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:09:52.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:09:55.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:10:00.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:10:05.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:10:05.403Z] 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. [2026-01-31T05:10:05.403Z] The best model improves the baseline by 14.52%. [2026-01-31T05:10:05.747Z] Top recommended movies for user id 72: [2026-01-31T05:10:05.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:10:05.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:10:05.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:10:05.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:10:05.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:10:05.747Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (47873.396 ms) ====== [2026-01-31T05:10:05.747Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-31T05:10:05.747Z] GC before operation: completed in 167.122 ms, heap usage 217.569 MB -> 89.305 MB. [2026-01-31T05:10:13.006Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T05:10:20.291Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T05:10:29.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T05:10:36.435Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T05:10:40.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T05:10:45.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T05:10:49.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T05:10:53.614Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T05:10:54.337Z] 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. [2026-01-31T05:10:54.337Z] The best model improves the baseline by 14.52%. [2026-01-31T05:10:54.337Z] Top recommended movies for user id 72: [2026-01-31T05:10:54.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T05:10:54.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T05:10:54.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T05:10:54.337Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T05:10:54.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T05:10:54.337Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48627.532 ms) ====== [2026-01-31T05:10:55.070Z] ----------------------------------- [2026-01-31T05:10:55.070Z] renaissance-movie-lens_0_PASSED [2026-01-31T05:10:55.070Z] ----------------------------------- [2026-01-31T05:10:55.395Z] [2026-01-31T05:10:55.395Z] TEST TEARDOWN: [2026-01-31T05:10:55.395Z] Nothing to be done for teardown. [2026-01-31T05:10:55.395Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 05:10:55 2026 Epoch Time (ms): 1769836255218