[2026-02-12T22:01:13.282Z] Running test renaissance-movie-lens_0 ... [2026-02-12T22:01:13.282Z] =============================================== [2026-02-12T22:01:13.632Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 22:01:13 2026 Epoch Time (ms): 1770933673347 [2026-02-12T22:01:13.632Z] variation: NoOptions [2026-02-12T22:01:13.632Z] JVM_OPTIONS: [2026-02-12T22:01:13.632Z] { \ [2026-02-12T22:01:13.632Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T22:01:13.632Z] echo "Nothing to be done for setup."; \ [2026-02-12T22:01:13.632Z] mkdir -p "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709319024677\\renaissance-movie-lens_0"; \ [2026-02-12T22:01:13.632Z] cd "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709319024677\\renaissance-movie-lens_0"; \ [2026-02-12T22:01:13.632Z] echo ""; echo "TESTING:"; \ [2026-02-12T22:01:13.632Z] "c:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709319024677\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-12T22:01:13.632Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709319024677\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T22:01:13.632Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T22:01:13.632Z] echo "Nothing to be done for teardown."; \ [2026-02-12T22:01:13.632Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709319024677\\TestTargetResult"; [2026-02-12T22:01:13.996Z] [2026-02-12T22:01:13.996Z] TEST SETUP: [2026-02-12T22:01:13.996Z] Nothing to be done for setup. [2026-02-12T22:01:13.996Z] [2026-02-12T22:01:13.996Z] TESTING: [2026-02-12T22:01:37.068Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T22:01:46.293Z] 22:01:44.604 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T22:01:48.722Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T22:01:49.951Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T22:01:49.951Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T22:01:49.951Z] GC before operation: completed in 242.492 ms, heap usage 359.989 MB -> 74.934 MB. [2026-02-12T22:02:09.498Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:02:22.947Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:02:36.249Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:02:49.597Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:02:56.971Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:03:04.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:03:11.700Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:03:19.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:03:19.126Z] 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. [2026-02-12T22:03:19.126Z] The best model improves the baseline by 14.52%. [2026-02-12T22:03:19.493Z] Top recommended movies for user id 72: [2026-02-12T22:03:19.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:03:19.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:03:19.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:03:19.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:03:19.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:03:19.493Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (89338.542 ms) ====== [2026-02-12T22:03:19.493Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T22:03:19.493Z] GC before operation: completed in 199.712 ms, heap usage 217.966 MB -> 85.869 MB. [2026-02-12T22:03:32.766Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:03:43.625Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:03:56.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:04:07.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:04:15.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:04:21.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:04:28.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:04:36.171Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:04:36.171Z] 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. [2026-02-12T22:04:36.171Z] The best model improves the baseline by 14.52%. [2026-02-12T22:04:36.171Z] Top recommended movies for user id 72: [2026-02-12T22:04:36.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:04:36.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:04:36.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:04:36.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:04:36.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:04:36.171Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (76599.563 ms) ====== [2026-02-12T22:04:36.171Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T22:04:36.538Z] GC before operation: completed in 209.088 ms, heap usage 168.857 MB -> 87.946 MB. [2026-02-12T22:04:47.399Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:05:00.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:05:13.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:05:22.952Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:05:28.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:05:34.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:05:42.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:05:48.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:05:49.287Z] 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. [2026-02-12T22:05:49.287Z] The best model improves the baseline by 14.52%. [2026-02-12T22:05:49.287Z] Top recommended movies for user id 72: [2026-02-12T22:05:49.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:05:49.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:05:49.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:05:49.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:05:49.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:05:49.287Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (72903.999 ms) ====== [2026-02-12T22:05:49.287Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T22:05:49.652Z] GC before operation: completed in 237.952 ms, heap usage 362.783 MB -> 88.743 MB. [2026-02-12T22:06:02.819Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:06:13.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:06:27.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:06:38.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:06:43.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:06:51.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:06:58.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:07:04.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:07:05.081Z] 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. [2026-02-12T22:07:05.081Z] The best model improves the baseline by 14.52%. [2026-02-12T22:07:05.855Z] Top recommended movies for user id 72: [2026-02-12T22:07:05.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:07:05.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:07:05.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:07:05.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:07:05.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:07:05.855Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (76188.823 ms) ====== [2026-02-12T22:07:05.855Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T22:07:05.855Z] GC before operation: completed in 185.795 ms, heap usage 231.534 MB -> 88.876 MB. [2026-02-12T22:07:16.879Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:07:30.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:07:41.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:07:52.417Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:07:58.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:08:05.911Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:08:13.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:08:19.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:08:19.658Z] 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. [2026-02-12T22:08:19.658Z] The best model improves the baseline by 14.52%. [2026-02-12T22:08:20.398Z] Top recommended movies for user id 72: [2026-02-12T22:08:20.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:08:20.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:08:20.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:08:20.398Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:08:20.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:08:20.398Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (74308.989 ms) ====== [2026-02-12T22:08:20.398Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T22:08:20.398Z] GC before operation: completed in 199.514 ms, heap usage 200.655 MB -> 88.789 MB. [2026-02-12T22:08:33.607Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:08:44.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:08:57.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:09:08.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:09:14.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:09:20.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:09:28.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:09:35.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:09:35.964Z] 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. [2026-02-12T22:09:35.964Z] The best model improves the baseline by 14.52%. [2026-02-12T22:09:36.344Z] Top recommended movies for user id 72: [2026-02-12T22:09:36.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:09:36.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:09:36.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:09:36.344Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:09:36.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:09:36.344Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (75592.301 ms) ====== [2026-02-12T22:09:36.344Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T22:09:36.344Z] GC before operation: completed in 195.032 ms, heap usage 239.528 MB -> 89.135 MB. [2026-02-12T22:09:49.616Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:10:00.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:10:13.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:10:24.763Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:10:30.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:10:36.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:10:44.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:10:51.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:10:51.514Z] 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. [2026-02-12T22:10:51.514Z] The best model improves the baseline by 14.52%. [2026-02-12T22:10:51.514Z] Top recommended movies for user id 72: [2026-02-12T22:10:51.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:10:51.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:10:51.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:10:51.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:10:51.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:10:51.515Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (75339.192 ms) ====== [2026-02-12T22:10:51.515Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T22:10:51.900Z] GC before operation: completed in 186.670 ms, heap usage 184.236 MB -> 89.047 MB. [2026-02-12T22:11:02.827Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:11:15.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:11:26.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:11:37.841Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:11:43.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:11:51.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:11:58.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:12:04.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:12:04.921Z] 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. [2026-02-12T22:12:04.921Z] The best model improves the baseline by 14.52%. [2026-02-12T22:12:05.417Z] Top recommended movies for user id 72: [2026-02-12T22:12:05.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:12:05.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:12:05.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:12:05.417Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:12:05.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:12:05.417Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (73696.118 ms) ====== [2026-02-12T22:12:05.417Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T22:12:05.787Z] GC before operation: completed in 199.939 ms, heap usage 217.603 MB -> 89.272 MB. [2026-02-12T22:12:16.774Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:12:27.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:12:40.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:12:51.769Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:12:57.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:13:03.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:13:11.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:13:17.302Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:13:18.089Z] 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. [2026-02-12T22:13:18.089Z] The best model improves the baseline by 14.52%. [2026-02-12T22:13:18.595Z] Top recommended movies for user id 72: [2026-02-12T22:13:18.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:13:18.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:13:18.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:13:18.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:13:18.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:13:18.595Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (72984.341 ms) ====== [2026-02-12T22:13:18.595Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T22:13:18.956Z] GC before operation: completed in 192.679 ms, heap usage 184.803 MB -> 89.138 MB. [2026-02-12T22:13:29.883Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:13:43.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:13:54.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:14:04.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:14:10.971Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:14:16.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:14:24.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:14:30.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:14:30.822Z] 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. [2026-02-12T22:14:30.822Z] The best model improves the baseline by 14.52%. [2026-02-12T22:14:31.252Z] Top recommended movies for user id 72: [2026-02-12T22:14:31.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:14:31.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:14:31.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:14:31.252Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:14:31.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:14:31.252Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (72441.839 ms) ====== [2026-02-12T22:14:31.252Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T22:14:31.618Z] GC before operation: completed in 200.007 ms, heap usage 167.402 MB -> 89.307 MB. [2026-02-12T22:14:42.522Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:14:53.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:15:06.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:15:17.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:15:23.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:15:29.805Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:15:37.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:15:43.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:15:43.904Z] 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. [2026-02-12T22:15:43.904Z] The best model improves the baseline by 14.52%. [2026-02-12T22:15:44.266Z] Top recommended movies for user id 72: [2026-02-12T22:15:44.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:15:44.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:15:44.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:15:44.266Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:15:44.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:15:44.266Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (72736.593 ms) ====== [2026-02-12T22:15:44.266Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T22:15:44.266Z] GC before operation: completed in 194.855 ms, heap usage 116.337 MB -> 88.952 MB. [2026-02-12T22:15:57.482Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:16:08.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:16:21.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:16:30.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:16:37.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:16:43.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:16:51.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:16:57.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:16:57.757Z] 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. [2026-02-12T22:16:57.757Z] The best model improves the baseline by 14.52%. [2026-02-12T22:16:58.172Z] Top recommended movies for user id 72: [2026-02-12T22:16:58.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:16:58.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:16:58.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:16:58.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:16:58.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:16:58.172Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (73780.585 ms) ====== [2026-02-12T22:16:58.172Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T22:16:58.538Z] GC before operation: completed in 197.823 ms, heap usage 258.083 MB -> 89.325 MB. [2026-02-12T22:17:09.428Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:17:22.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:17:36.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:17:45.325Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:17:52.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:17:59.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:18:05.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:18:12.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:18:12.506Z] 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. [2026-02-12T22:18:12.506Z] The best model improves the baseline by 14.52%. [2026-02-12T22:18:13.263Z] Top recommended movies for user id 72: [2026-02-12T22:18:13.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:18:13.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:18:13.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:18:13.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:18:13.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:18:13.263Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (74702.366 ms) ====== [2026-02-12T22:18:13.263Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T22:18:13.263Z] GC before operation: completed in 187.166 ms, heap usage 232.147 MB -> 89.381 MB. [2026-02-12T22:18:26.568Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:18:35.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:18:48.739Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:18:57.709Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:19:05.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:19:11.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:19:18.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:19:24.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:19:24.430Z] 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. [2026-02-12T22:19:24.430Z] The best model improves the baseline by 14.52%. [2026-02-12T22:19:24.904Z] Top recommended movies for user id 72: [2026-02-12T22:19:24.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:19:24.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:19:24.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:19:24.904Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:19:24.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:19:24.904Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (71665.911 ms) ====== [2026-02-12T22:19:24.904Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T22:19:25.285Z] GC before operation: completed in 220.671 ms, heap usage 370.382 MB -> 89.355 MB. [2026-02-12T22:19:36.289Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:19:47.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:20:00.457Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:20:11.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:20:17.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:20:23.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:20:30.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:20:36.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:20:37.368Z] 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. [2026-02-12T22:20:37.368Z] The best model improves the baseline by 14.52%. [2026-02-12T22:20:37.786Z] Top recommended movies for user id 72: [2026-02-12T22:20:37.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:20:37.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:20:37.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:20:37.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:20:37.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:20:37.786Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (72632.385 ms) ====== [2026-02-12T22:20:37.786Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T22:20:38.147Z] GC before operation: completed in 186.831 ms, heap usage 201.262 MB -> 89.419 MB. [2026-02-12T22:20:49.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:20:59.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:21:13.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:21:24.090Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:21:28.920Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:21:36.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:21:43.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:21:48.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:21:49.753Z] 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. [2026-02-12T22:21:49.753Z] The best model improves the baseline by 14.52%. [2026-02-12T22:21:49.753Z] Top recommended movies for user id 72: [2026-02-12T22:21:49.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:21:49.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:21:49.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:21:49.753Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:21:49.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:21:49.753Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (71814.610 ms) ====== [2026-02-12T22:21:49.753Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T22:21:50.159Z] GC before operation: completed in 206.966 ms, heap usage 323.693 MB -> 89.407 MB. [2026-02-12T22:22:01.106Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:22:14.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:22:25.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:22:36.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:22:43.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:22:49.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:22:57.247Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:23:03.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:23:04.032Z] 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. [2026-02-12T22:23:04.032Z] The best model improves the baseline by 14.52%. [2026-02-12T22:23:04.768Z] Top recommended movies for user id 72: [2026-02-12T22:23:04.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:23:04.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:23:04.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:23:04.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:23:04.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:23:04.768Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (74631.964 ms) ====== [2026-02-12T22:23:04.768Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T22:23:04.768Z] GC before operation: completed in 213.050 ms, heap usage 288.583 MB -> 89.506 MB. [2026-02-12T22:23:15.794Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:23:26.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:23:40.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:23:51.184Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:23:57.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:24:03.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:24:10.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:24:16.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:24:17.069Z] 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. [2026-02-12T22:24:17.069Z] The best model improves the baseline by 14.52%. [2026-02-12T22:24:17.508Z] Top recommended movies for user id 72: [2026-02-12T22:24:17.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:24:17.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:24:17.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:24:17.508Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:24:17.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:24:17.508Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (72704.742 ms) ====== [2026-02-12T22:24:17.508Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T22:24:17.840Z] GC before operation: completed in 185.459 ms, heap usage 181.954 MB -> 89.184 MB. [2026-02-12T22:24:28.970Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:24:42.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:24:53.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:25:04.004Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:25:08.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:25:16.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:25:23.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:25:29.615Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:25:29.943Z] 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. [2026-02-12T22:25:29.943Z] The best model improves the baseline by 14.52%. [2026-02-12T22:25:30.335Z] Top recommended movies for user id 72: [2026-02-12T22:25:30.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:25:30.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:25:30.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:25:30.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:25:30.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:25:30.335Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (72637.639 ms) ====== [2026-02-12T22:25:30.335Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T22:25:30.748Z] GC before operation: completed in 189.572 ms, heap usage 186.928 MB -> 89.279 MB. [2026-02-12T22:25:41.631Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:25:52.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:26:05.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:26:16.754Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:26:22.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:26:28.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:26:36.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:26:42.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:26:42.141Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:26:42.141Z] The best model improves the baseline by 14.52%. [2026-02-12T22:26:42.891Z] Top recommended movies for user id 72: [2026-02-12T22:26:42.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:26:42.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:26:42.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:26:42.891Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:26:42.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:26:42.891Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (72164.624 ms) ====== [2026-02-12T22:26:43.634Z] ----------------------------------- [2026-02-12T22:26:43.634Z] renaissance-movie-lens_0_PASSED [2026-02-12T22:26:43.634Z] ----------------------------------- [2026-02-12T22:26:44.361Z] [2026-02-12T22:26:44.361Z] TEST TEARDOWN: [2026-02-12T22:26:44.361Z] Nothing to be done for teardown. [2026-02-12T22:26:44.361Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 22:26:44 2026 Epoch Time (ms): 1770935204297