[2026-02-12T05:53:19.585Z] Running test renaissance-movie-lens_0 ... [2026-02-12T05:53:19.585Z] =============================================== [2026-02-12T05:53:19.916Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 05:53:19 2026 Epoch Time (ms): 1770875599669 [2026-02-12T05:53:19.916Z] variation: NoOptions [2026-02-12T05:53:19.916Z] JVM_OPTIONS: [2026-02-12T05:53:19.916Z] { \ [2026-02-12T05:53:19.916Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T05:53:19.916Z] echo "Nothing to be done for setup."; \ [2026-02-12T05:53:19.916Z] mkdir -p "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708739979608\\renaissance-movie-lens_0"; \ [2026-02-12T05:53:19.916Z] cd "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708739979608\\renaissance-movie-lens_0"; \ [2026-02-12T05:53:19.916Z] echo ""; echo "TESTING:"; \ [2026-02-12T05:53:19.916Z] "c:/workspace/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:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708739979608\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-12T05:53:19.916Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708739979608\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T05:53:19.916Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T05:53:19.916Z] echo "Nothing to be done for teardown."; \ [2026-02-12T05:53:19.916Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708739979608\\TestTargetResult"; [2026-02-12T05:53:20.245Z] [2026-02-12T05:53:20.245Z] TEST SETUP: [2026-02-12T05:53:20.245Z] Nothing to be done for setup. [2026-02-12T05:53:20.245Z] [2026-02-12T05:53:20.245Z] TESTING: [2026-02-12T05:53:36.190Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T05:53:42.225Z] 05:53:41.582 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T05:53:44.593Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T05:53:44.975Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T05:53:44.975Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T05:53:44.975Z] GC before operation: completed in 120.933 ms, heap usage 448.491 MB -> 76.147 MB. [2026-02-12T05:53:58.283Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:54:09.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:54:18.053Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:54:27.070Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:54:33.019Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:54:37.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:54:43.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:54:48.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:54:48.994Z] 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. [2026-02-12T05:54:48.995Z] The best model improves the baseline by 14.52%. [2026-02-12T05:54:49.364Z] Top recommended movies for user id 72: [2026-02-12T05:54:49.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T05:54:49.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T05:54:49.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T05:54:49.364Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T05:54:49.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T05:54:49.364Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (64262.592 ms) ====== [2026-02-12T05:54:49.364Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T05:54:49.364Z] GC before operation: completed in 124.005 ms, heap usage 339.456 MB -> 87.142 MB. [2026-02-12T05:54:58.283Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:55:07.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:55:16.173Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:55:23.517Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:55:28.318Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:55:33.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:55:39.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:55:42.922Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:55:43.763Z] 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. [2026-02-12T05:55:43.763Z] The best model improves the baseline by 14.52%. [2026-02-12T05:55:44.116Z] Top recommended movies for user id 72: [2026-02-12T05:55:44.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T05:55:44.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T05:55:44.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T05:55:44.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T05:55:44.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T05:55:44.116Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (54465.203 ms) ====== [2026-02-12T05:55:44.116Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T05:55:44.116Z] GC before operation: completed in 122.919 ms, heap usage 184.054 MB -> 89.074 MB. [2026-02-12T05:55:53.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:56:02.074Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:56:10.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:56:18.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:56:23.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:56:27.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:56:32.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:56:37.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:56:37.856Z] 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. [2026-02-12T05:56:37.856Z] The best model improves the baseline by 14.52%. [2026-02-12T05:56:37.856Z] Top recommended movies for user id 72: [2026-02-12T05:56:37.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T05:56:37.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T05:56:37.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T05:56:37.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T05:56:37.857Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T05:56:38.187Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (53930.712 ms) ====== [2026-02-12T05:56:38.187Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T05:56:38.187Z] GC before operation: completed in 136.074 ms, heap usage 122.815 MB -> 89.625 MB. [2026-02-12T05:56:45.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:56:54.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:57:03.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:57:12.489Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:57:16.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:57:21.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:57:25.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:57:30.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:57:31.553Z] 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. [2026-02-12T05:57:31.953Z] The best model improves the baseline by 14.52%. [2026-02-12T05:57:31.953Z] Top recommended movies for user id 72: [2026-02-12T05:57:31.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T05:57:31.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T05:57:31.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T05:57:31.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T05:57:31.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T05:57:31.953Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (53951.982 ms) ====== [2026-02-12T05:57:31.953Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T05:57:32.347Z] GC before operation: completed in 129.551 ms, heap usage 184.692 MB -> 90.167 MB. [2026-02-12T05:57:41.324Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:57:48.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:57:59.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:58:06.876Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:58:11.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:58:15.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:58:21.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:58:25.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:58:26.093Z] 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. [2026-02-12T05:58:26.093Z] The best model improves the baseline by 14.52%. [2026-02-12T05:58:26.093Z] Top recommended movies for user id 72: [2026-02-12T05:58:26.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T05:58:26.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T05:58:26.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T05:58:26.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T05:58:26.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T05:58:26.094Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (54017.978 ms) ====== [2026-02-12T05:58:26.094Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T05:58:26.487Z] GC before operation: completed in 119.399 ms, heap usage 185.914 MB -> 89.984 MB. [2026-02-12T05:58:33.813Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:58:42.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:58:51.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:58:58.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:59:02.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:59:07.663Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:59:12.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:59:17.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:59:18.018Z] 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. [2026-02-12T05:59:18.018Z] The best model improves the baseline by 14.52%. [2026-02-12T05:59:18.408Z] Top recommended movies for user id 72: [2026-02-12T05:59:18.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T05:59:18.408Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T05:59:18.408Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T05:59:18.408Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T05:59:18.408Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T05:59:18.408Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52117.557 ms) ====== [2026-02-12T05:59:18.408Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T05:59:18.408Z] GC before operation: completed in 118.516 ms, heap usage 252.419 MB -> 90.389 MB. [2026-02-12T05:59:25.798Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:59:34.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:59:43.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:59:51.050Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:59:55.852Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:59:59.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:00:04.815Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:00:08.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:00:09.450Z] 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. [2026-02-12T06:00:09.450Z] The best model improves the baseline by 14.52%. [2026-02-12T06:00:09.836Z] Top recommended movies for user id 72: [2026-02-12T06:00:09.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:00:09.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:00:09.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:00:09.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:00:09.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:00:09.836Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51301.511 ms) ====== [2026-02-12T06:00:09.836Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T06:00:09.836Z] GC before operation: completed in 126.494 ms, heap usage 183.149 MB -> 90.289 MB. [2026-02-12T06:00:18.751Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:00:26.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:00:35.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:00:42.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:00:47.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:00:51.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:00:56.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:01:00.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:01:00.972Z] 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. [2026-02-12T06:01:00.972Z] The best model improves the baseline by 14.52%. [2026-02-12T06:01:01.338Z] Top recommended movies for user id 72: [2026-02-12T06:01:01.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:01:01.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:01:01.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:01:01.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:01:01.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:01:01.338Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51427.057 ms) ====== [2026-02-12T06:01:01.338Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T06:01:01.338Z] GC before operation: completed in 117.084 ms, heap usage 122.258 MB -> 90.393 MB. [2026-02-12T06:01:10.385Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:01:17.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:01:26.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:01:34.005Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:01:37.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:01:42.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:01:48.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:01:52.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:01:52.981Z] 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. [2026-02-12T06:01:52.981Z] The best model improves the baseline by 14.52%. [2026-02-12T06:01:53.357Z] Top recommended movies for user id 72: [2026-02-12T06:01:53.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:01:53.357Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:01:53.357Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:01:53.357Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:01:53.357Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:01:53.357Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51919.576 ms) ====== [2026-02-12T06:01:53.357Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T06:01:53.357Z] GC before operation: completed in 118.767 ms, heap usage 297.090 MB -> 90.547 MB. [2026-02-12T06:02:02.309Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:02:09.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:02:18.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:02:27.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:02:31.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:02:35.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:02:40.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:02:44.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:02:45.236Z] 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. [2026-02-12T06:02:45.236Z] The best model improves the baseline by 14.52%. [2026-02-12T06:02:45.600Z] Top recommended movies for user id 72: [2026-02-12T06:02:45.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:02:45.600Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:02:45.600Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:02:45.600Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:02:45.600Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:02:45.600Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (52011.509 ms) ====== [2026-02-12T06:02:45.600Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T06:02:45.600Z] GC before operation: completed in 115.246 ms, heap usage 185.714 MB -> 90.520 MB. [2026-02-12T06:02:54.642Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:03:01.993Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:03:10.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:03:18.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:03:22.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:03:26.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:03:32.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:03:36.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:03:37.317Z] 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. [2026-02-12T06:03:37.317Z] The best model improves the baseline by 14.52%. [2026-02-12T06:03:37.666Z] Top recommended movies for user id 72: [2026-02-12T06:03:37.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:03:37.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:03:37.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:03:37.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:03:37.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:03:37.666Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51935.311 ms) ====== [2026-02-12T06:03:37.666Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T06:03:37.666Z] GC before operation: completed in 118.013 ms, heap usage 375.542 MB -> 90.612 MB. [2026-02-12T06:03:45.004Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:03:52.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:04:01.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:04:08.562Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:04:14.504Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:04:18.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:04:23.164Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:04:28.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:04:28.075Z] 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. [2026-02-12T06:04:28.075Z] The best model improves the baseline by 14.52%. [2026-02-12T06:04:28.075Z] Top recommended movies for user id 72: [2026-02-12T06:04:28.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:04:28.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:04:28.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:04:28.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:04:28.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:04:28.075Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50462.846 ms) ====== [2026-02-12T06:04:28.075Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T06:04:28.444Z] GC before operation: completed in 119.855 ms, heap usage 121.841 MB -> 90.605 MB. [2026-02-12T06:04:35.809Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:04:44.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:04:53.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:04:59.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:05:04.458Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:05:09.257Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:05:14.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:05:17.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:05:18.811Z] 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. [2026-02-12T06:05:18.811Z] The best model improves the baseline by 14.52%. [2026-02-12T06:05:18.811Z] Top recommended movies for user id 72: [2026-02-12T06:05:18.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:05:18.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:05:18.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:05:18.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:05:18.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:05:18.811Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50602.193 ms) ====== [2026-02-12T06:05:18.811Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T06:05:19.223Z] GC before operation: completed in 132.307 ms, heap usage 185.440 MB -> 90.582 MB. [2026-02-12T06:05:28.179Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:05:35.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:05:44.430Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:05:51.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:05:55.546Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:06:00.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:06:05.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:06:10.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:06:10.035Z] 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. [2026-02-12T06:06:10.438Z] The best model improves the baseline by 14.52%. [2026-02-12T06:06:10.438Z] Top recommended movies for user id 72: [2026-02-12T06:06:10.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:06:10.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:06:10.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:06:10.438Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:06:10.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:06:10.438Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51486.915 ms) ====== [2026-02-12T06:06:10.438Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T06:06:10.815Z] GC before operation: completed in 119.323 ms, heap usage 228.371 MB -> 90.554 MB. [2026-02-12T06:06:18.176Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:06:27.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:06:34.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:06:43.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:06:47.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:06:51.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:06:55.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:07:00.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:07:01.537Z] 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. [2026-02-12T06:07:01.537Z] The best model improves the baseline by 14.52%. [2026-02-12T06:07:01.537Z] Top recommended movies for user id 72: [2026-02-12T06:07:01.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:07:01.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:07:01.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:07:01.537Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:07:01.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:07:01.537Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50970.235 ms) ====== [2026-02-12T06:07:01.537Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T06:07:01.913Z] GC before operation: completed in 129.571 ms, heap usage 101.015 MB -> 90.345 MB. [2026-02-12T06:07:09.236Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:07:18.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:07:27.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:07:33.152Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:07:37.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:07:41.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:07:47.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:07:51.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:07:52.511Z] 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. [2026-02-12T06:07:52.511Z] The best model improves the baseline by 14.52%. [2026-02-12T06:07:52.511Z] Top recommended movies for user id 72: [2026-02-12T06:07:52.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:07:52.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:07:52.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:07:52.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:07:52.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:07:52.511Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50790.037 ms) ====== [2026-02-12T06:07:52.511Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T06:07:52.890Z] GC before operation: completed in 122.684 ms, heap usage 564.816 MB -> 95.467 MB. [2026-02-12T06:08:00.258Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:08:07.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:08:16.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:08:23.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:08:27.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:08:32.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:08:37.343Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:08:41.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:08:41.552Z] 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. [2026-02-12T06:08:41.552Z] The best model improves the baseline by 14.52%. [2026-02-12T06:08:41.926Z] Top recommended movies for user id 72: [2026-02-12T06:08:41.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:08:41.926Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:08:41.926Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:08:41.926Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:08:41.926Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:08:41.926Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49267.491 ms) ====== [2026-02-12T06:08:41.926Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T06:08:41.926Z] GC before operation: completed in 134.998 ms, heap usage 378.192 MB -> 90.886 MB. [2026-02-12T06:08:50.891Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:08:58.185Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:09:07.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:09:14.430Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:09:18.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:09:23.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:09:27.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:09:31.769Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:09:32.572Z] 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. [2026-02-12T06:09:32.572Z] The best model improves the baseline by 14.52%. [2026-02-12T06:09:32.572Z] Top recommended movies for user id 72: [2026-02-12T06:09:32.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:09:32.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:09:32.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:09:32.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:09:32.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:09:32.572Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50593.886 ms) ====== [2026-02-12T06:09:32.572Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T06:09:32.963Z] GC before operation: completed in 125.246 ms, heap usage 164.711 MB -> 90.383 MB. [2026-02-12T06:09:41.881Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:09:49.279Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:09:56.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:10:05.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:10:10.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:10:14.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:10:20.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:10:24.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:10:24.757Z] 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. [2026-02-12T06:10:24.757Z] The best model improves the baseline by 14.52%. [2026-02-12T06:10:25.128Z] Top recommended movies for user id 72: [2026-02-12T06:10:25.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:10:25.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:10:25.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:10:25.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:10:25.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:10:25.128Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52317.390 ms) ====== [2026-02-12T06:10:25.128Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T06:10:25.128Z] GC before operation: completed in 130.681 ms, heap usage 549.678 MB -> 93.144 MB. [2026-02-12T06:10:32.459Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T06:10:41.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T06:10:50.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T06:10:57.700Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T06:11:02.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T06:11:07.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T06:11:12.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T06:11:16.013Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T06:11:16.742Z] 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. [2026-02-12T06:11:16.742Z] The best model improves the baseline by 14.52%. [2026-02-12T06:11:17.095Z] Top recommended movies for user id 72: [2026-02-12T06:11:17.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T06:11:17.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T06:11:17.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T06:11:17.095Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T06:11:17.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T06:11:17.095Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51871.550 ms) ====== [2026-02-12T06:11:17.832Z] ----------------------------------- [2026-02-12T06:11:17.832Z] renaissance-movie-lens_0_PASSED [2026-02-12T06:11:17.832Z] ----------------------------------- [2026-02-12T06:11:18.161Z] [2026-02-12T06:11:18.161Z] TEST TEARDOWN: [2026-02-12T06:11:18.161Z] Nothing to be done for teardown. [2026-02-12T06:11:18.490Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 06:11:18 2026 Epoch Time (ms): 1770876678220