[2026-02-19T07:49:34.690Z] Running test renaissance-movie-lens_0 ... [2026-02-19T07:49:35.357Z] =============================================== [2026-02-19T07:49:35.788Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 02:49:35 2026 Epoch Time (ms): 1771487375308 [2026-02-19T07:49:35.788Z] variation: NoOptions [2026-02-19T07:49:35.788Z] JVM_OPTIONS: [2026-02-19T07:49:35.788Z] { \ [2026-02-19T07:49:35.788Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T07:49:35.788Z] echo "Nothing to be done for setup."; \ [2026-02-19T07:49:35.788Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17714862017136/renaissance-movie-lens_0"; \ [2026-02-19T07:49:35.788Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17714862017136/renaissance-movie-lens_0"; \ [2026-02-19T07:49:35.788Z] echo ""; echo "TESTING:"; \ [2026-02-19T07:49:35.788Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17714862017136/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T07:49:35.788Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17714862017136/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T07:49:35.788Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T07:49:35.788Z] echo "Nothing to be done for teardown."; \ [2026-02-19T07:49:35.788Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17714862017136/TestTargetResult"; [2026-02-19T07:49:35.788Z] [2026-02-19T07:49:35.788Z] TEST SETUP: [2026-02-19T07:49:35.788Z] Nothing to be done for setup. [2026-02-19T07:49:35.788Z] [2026-02-19T07:49:35.788Z] TESTING: [2026-02-19T07:50:01.842Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-19T07:50:33.479Z] 02:50:29.761 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-19T07:50:39.914Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T07:50:45.144Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T07:50:45.144Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T07:50:45.144Z] GC before operation: completed in 456.224 ms, heap usage 520.432 MB -> 74.784 MB. [2026-02-19T07:51:20.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T07:51:42.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T07:52:01.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T07:52:17.403Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T07:52:28.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T07:52:37.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T07:52:48.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T07:53:00.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T07:53:01.895Z] 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. [2026-02-19T07:53:01.895Z] The best model improves the baseline by 14.52%. [2026-02-19T07:53:04.255Z] Top recommended movies for user id 72: [2026-02-19T07:53:04.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T07:53:04.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T07:53:04.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T07:53:04.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T07:53:04.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T07:53:04.256Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (139159.288 ms) ====== [2026-02-19T07:53:04.256Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T07:53:04.750Z] GC before operation: completed in 537.096 ms, heap usage 1.025 GB -> 92.608 MB. [2026-02-19T07:53:21.592Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T07:53:36.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T07:53:55.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T07:54:08.944Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T07:54:16.746Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T07:54:25.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T07:54:34.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T07:54:43.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T07:54:44.316Z] 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. [2026-02-19T07:54:44.316Z] The best model improves the baseline by 14.52%. [2026-02-19T07:54:46.275Z] Top recommended movies for user id 72: [2026-02-19T07:54:46.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T07:54:46.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T07:54:46.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T07:54:46.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T07:54:46.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T07:54:46.275Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (101398.982 ms) ====== [2026-02-19T07:54:46.275Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T07:54:46.275Z] GC before operation: completed in 352.879 ms, heap usage 378.824 MB -> 87.638 MB. [2026-02-19T07:55:01.653Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T07:55:19.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T07:55:35.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T07:55:48.977Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T07:55:56.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T07:56:04.545Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T07:56:13.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T07:56:24.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T07:56:24.220Z] 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. [2026-02-19T07:56:24.220Z] The best model improves the baseline by 14.52%. [2026-02-19T07:56:24.851Z] Top recommended movies for user id 72: [2026-02-19T07:56:24.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T07:56:24.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T07:56:24.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T07:56:24.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T07:56:24.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T07:56:24.851Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (98306.179 ms) ====== [2026-02-19T07:56:24.851Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T07:56:26.070Z] GC before operation: completed in 1215.228 ms, heap usage 884.680 MB -> 92.552 MB. [2026-02-19T07:56:48.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T07:57:01.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T07:57:17.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T07:57:33.580Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T07:57:43.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T07:57:54.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T07:58:02.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T07:58:12.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T07:58:12.359Z] 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. [2026-02-19T07:58:12.359Z] The best model improves the baseline by 14.52%. [2026-02-19T07:58:13.307Z] Top recommended movies for user id 72: [2026-02-19T07:58:13.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T07:58:13.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T07:58:13.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T07:58:13.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T07:58:13.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T07:58:13.307Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (107342.721 ms) ====== [2026-02-19T07:58:13.307Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T07:58:13.836Z] GC before operation: completed in 384.900 ms, heap usage 671.567 MB -> 92.171 MB. [2026-02-19T07:58:32.967Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T07:58:49.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T07:59:01.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T07:59:12.291Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T07:59:21.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T07:59:30.009Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T07:59:37.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T07:59:47.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T07:59:47.528Z] 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. [2026-02-19T07:59:47.951Z] The best model improves the baseline by 14.52%. [2026-02-19T07:59:47.951Z] Top recommended movies for user id 72: [2026-02-19T07:59:47.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T07:59:47.951Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T07:59:47.951Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T07:59:47.951Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T07:59:47.951Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T07:59:47.951Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (94551.139 ms) ====== [2026-02-19T07:59:47.951Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T07:59:48.618Z] GC before operation: completed in 274.747 ms, heap usage 754.693 MB -> 92.277 MB. [2026-02-19T08:00:07.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:00:18.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:00:29.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:00:44.830Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:00:56.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:01:02.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:01:10.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:01:17.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:01:19.706Z] 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. [2026-02-19T08:01:19.706Z] The best model improves the baseline by 14.52%. [2026-02-19T08:01:20.176Z] Top recommended movies for user id 72: [2026-02-19T08:01:20.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:01:20.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:01:20.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:01:20.176Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:01:20.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:01:20.176Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (91530.479 ms) ====== [2026-02-19T08:01:20.176Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T08:01:20.176Z] GC before operation: completed in 376.396 ms, heap usage 324.617 MB -> 88.986 MB. [2026-02-19T08:01:35.241Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:01:49.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:02:02.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:02:18.210Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:02:25.691Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:02:35.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:02:44.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:02:51.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:02:52.257Z] 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. [2026-02-19T08:02:52.257Z] The best model improves the baseline by 14.52%. [2026-02-19T08:02:52.839Z] Top recommended movies for user id 72: [2026-02-19T08:02:52.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:02:52.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:02:52.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:02:52.839Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:02:52.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:02:52.839Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (92594.532 ms) ====== [2026-02-19T08:02:52.839Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T08:02:53.329Z] GC before operation: completed in 299.397 ms, heap usage 148.731 MB -> 92.729 MB. [2026-02-19T08:03:08.708Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:03:22.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:03:34.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:03:47.958Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:03:55.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:04:01.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:04:11.312Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:04:19.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:04:20.120Z] 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. [2026-02-19T08:04:20.120Z] The best model improves the baseline by 14.52%. [2026-02-19T08:04:21.132Z] Top recommended movies for user id 72: [2026-02-19T08:04:21.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:04:21.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:04:21.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:04:21.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:04:21.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:04:21.132Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (87651.892 ms) ====== [2026-02-19T08:04:21.132Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T08:04:21.132Z] GC before operation: completed in 430.125 ms, heap usage 126.999 MB -> 92.665 MB. [2026-02-19T08:04:39.955Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:04:58.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:05:10.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:05:26.487Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:05:34.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:05:41.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:05:47.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:05:55.566Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:05:55.566Z] 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. [2026-02-19T08:05:55.566Z] The best model improves the baseline by 14.52%. [2026-02-19T08:05:56.607Z] Top recommended movies for user id 72: [2026-02-19T08:05:56.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:05:56.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:05:56.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:05:56.607Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:05:56.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:05:56.607Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (95444.822 ms) ====== [2026-02-19T08:05:56.607Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T08:05:57.128Z] GC before operation: completed in 399.604 ms, heap usage 176.324 MB -> 89.785 MB. [2026-02-19T08:06:20.219Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:06:33.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:06:46.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:06:59.809Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:07:07.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:07:13.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:07:23.327Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:07:31.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:07:33.024Z] 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. [2026-02-19T08:07:33.483Z] The best model improves the baseline by 14.52%. [2026-02-19T08:07:33.960Z] Top recommended movies for user id 72: [2026-02-19T08:07:33.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:07:33.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:07:33.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:07:33.960Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:07:33.960Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:07:33.960Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (96534.131 ms) ====== [2026-02-19T08:07:33.960Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T08:07:33.960Z] GC before operation: completed in 356.875 ms, heap usage 147.548 MB -> 92.389 MB. [2026-02-19T08:07:49.950Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:08:02.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:08:15.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:08:28.767Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:08:34.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:08:42.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:08:50.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:08:59.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:09:00.978Z] 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. [2026-02-19T08:09:00.978Z] The best model improves the baseline by 14.52%. [2026-02-19T08:09:02.143Z] Top recommended movies for user id 72: [2026-02-19T08:09:02.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:09:02.143Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:09:02.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:09:02.143Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:09:02.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:09:02.143Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (87810.458 ms) ====== [2026-02-19T08:09:02.143Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T08:09:02.143Z] GC before operation: completed in 297.600 ms, heap usage 299.733 MB -> 88.952 MB. [2026-02-19T08:09:20.490Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:09:33.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:09:50.130Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:10:04.215Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:10:12.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:10:20.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:10:29.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:10:40.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:10:40.595Z] 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. [2026-02-19T08:10:40.595Z] The best model improves the baseline by 14.52%. [2026-02-19T08:10:40.595Z] Top recommended movies for user id 72: [2026-02-19T08:10:40.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:10:40.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:10:40.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:10:40.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:10:40.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:10:40.596Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (98553.232 ms) ====== [2026-02-19T08:10:40.596Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T08:10:41.424Z] GC before operation: completed in 554.391 ms, heap usage 865.446 MB -> 93.299 MB. [2026-02-19T08:11:01.147Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:11:15.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:11:31.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:11:42.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:11:47.088Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:11:55.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:12:05.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:12:13.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:12:14.234Z] 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. [2026-02-19T08:12:14.235Z] The best model improves the baseline by 14.52%. [2026-02-19T08:12:14.235Z] Top recommended movies for user id 72: [2026-02-19T08:12:14.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:12:14.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:12:14.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:12:14.235Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:12:14.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:12:14.235Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (93119.275 ms) ====== [2026-02-19T08:12:14.235Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T08:12:14.665Z] GC before operation: completed in 347.932 ms, heap usage 669.223 MB -> 92.898 MB. [2026-02-19T08:12:30.036Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:12:45.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:12:58.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:13:12.195Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:13:21.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:13:27.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:13:34.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:13:46.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:13:46.072Z] 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. [2026-02-19T08:13:46.072Z] The best model improves the baseline by 14.52%. [2026-02-19T08:13:46.650Z] Top recommended movies for user id 72: [2026-02-19T08:13:46.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:13:46.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:13:46.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:13:46.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:13:46.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:13:46.650Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (91862.898 ms) ====== [2026-02-19T08:13:46.650Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T08:13:47.959Z] GC before operation: completed in 1055.107 ms, heap usage 423.196 MB -> 89.369 MB. [2026-02-19T08:14:03.441Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:14:16.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:14:31.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:14:45.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:14:53.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:15:01.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:15:07.139Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:15:16.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:15:16.551Z] 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. [2026-02-19T08:15:16.551Z] The best model improves the baseline by 14.52%. [2026-02-19T08:15:16.551Z] Top recommended movies for user id 72: [2026-02-19T08:15:16.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:15:16.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:15:16.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:15:16.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:15:16.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:15:16.551Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (89041.999 ms) ====== [2026-02-19T08:15:16.551Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T08:15:17.008Z] GC before operation: completed in 308.364 ms, heap usage 362.287 MB -> 89.519 MB. [2026-02-19T08:15:29.708Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:15:45.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:16:02.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:16:15.822Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:16:23.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:16:29.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:16:39.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:16:46.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:16:47.318Z] 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. [2026-02-19T08:16:47.318Z] The best model improves the baseline by 14.52%. [2026-02-19T08:16:48.291Z] Top recommended movies for user id 72: [2026-02-19T08:16:48.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:16:48.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:16:48.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:16:48.291Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:16:48.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:16:48.291Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (91228.763 ms) ====== [2026-02-19T08:16:48.291Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T08:16:48.788Z] GC before operation: completed in 327.996 ms, heap usage 324.396 MB -> 89.271 MB. [2026-02-19T08:17:07.442Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:17:23.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:17:36.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:17:53.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:18:01.142Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:18:07.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:18:13.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:18:20.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:18:22.225Z] 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. [2026-02-19T08:18:22.225Z] The best model improves the baseline by 14.52%. [2026-02-19T08:18:22.751Z] Top recommended movies for user id 72: [2026-02-19T08:18:22.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:18:22.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:18:22.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:18:22.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:18:22.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:18:22.751Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (94079.182 ms) ====== [2026-02-19T08:18:22.751Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T08:18:23.218Z] GC before operation: completed in 355.122 ms, heap usage 175.188 MB -> 90.816 MB. [2026-02-19T08:18:38.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:18:50.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:19:05.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:19:20.875Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:19:30.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:19:38.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:19:46.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:19:55.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:19:55.250Z] 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. [2026-02-19T08:19:55.250Z] The best model improves the baseline by 14.52%. [2026-02-19T08:19:55.739Z] Top recommended movies for user id 72: [2026-02-19T08:19:55.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:19:55.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:19:55.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:19:55.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:19:55.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:19:55.740Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (92789.034 ms) ====== [2026-02-19T08:19:55.740Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T08:19:56.223Z] GC before operation: completed in 457.284 ms, heap usage 727.082 MB -> 92.941 MB. [2026-02-19T08:20:14.742Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:20:31.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:20:44.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:20:57.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:21:07.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:21:15.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:21:23.578Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:21:31.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:21:31.670Z] 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. [2026-02-19T08:21:31.670Z] The best model improves the baseline by 14.52%. [2026-02-19T08:21:32.908Z] Top recommended movies for user id 72: [2026-02-19T08:21:32.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:21:32.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:21:32.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:21:32.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:21:32.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:21:32.908Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (96556.837 ms) ====== [2026-02-19T08:21:32.908Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-19T08:21:32.908Z] GC before operation: completed in 268.100 ms, heap usage 127.294 MB -> 95.172 MB. [2026-02-19T08:21:51.662Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T08:22:04.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T08:22:17.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T08:22:30.796Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T08:22:36.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T08:22:50.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T08:22:59.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T08:23:08.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T08:23:08.875Z] 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. [2026-02-19T08:23:09.475Z] The best model improves the baseline by 14.52%. [2026-02-19T08:23:10.519Z] Top recommended movies for user id 72: [2026-02-19T08:23:10.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T08:23:10.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T08:23:10.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T08:23:10.519Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T08:23:10.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T08:23:10.519Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (97276.503 ms) ====== [2026-02-19T08:23:15.204Z] ----------------------------------- [2026-02-19T08:23:15.204Z] renaissance-movie-lens_0_PASSED [2026-02-19T08:23:15.204Z] ----------------------------------- [2026-02-19T08:23:15.668Z] [2026-02-19T08:23:15.668Z] TEST TEARDOWN: [2026-02-19T08:23:15.668Z] Nothing to be done for teardown. [2026-02-19T08:23:16.737Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 03:23:16 2026 Epoch Time (ms): 1771489396273