[2026-02-12T00:46:44.388Z] Running test renaissance-movie-lens_0 ... [2026-02-12T00:46:44.388Z] =============================================== [2026-02-12T00:46:44.388Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 00:46:43 2026 Epoch Time (ms): 1770857203448 [2026-02-12T00:46:44.388Z] variation: NoOptions [2026-02-12T00:46:44.388Z] JVM_OPTIONS: [2026-02-12T00:46:44.388Z] { \ [2026-02-12T00:46:44.388Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T00:46:44.388Z] echo "Nothing to be done for setup."; \ [2026-02-12T00:46:44.388Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708551232235/renaissance-movie-lens_0"; \ [2026-02-12T00:46:44.388Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708551232235/renaissance-movie-lens_0"; \ [2026-02-12T00:46:44.388Z] echo ""; echo "TESTING:"; \ [2026-02-12T00:46:44.388Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/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 "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708551232235/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T00:46:44.388Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708551232235/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T00:46:44.388Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T00:46:44.388Z] echo "Nothing to be done for teardown."; \ [2026-02-12T00:46:44.388Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708551232235/TestTargetResult"; [2026-02-12T00:46:44.388Z] [2026-02-12T00:46:44.388Z] TEST SETUP: [2026-02-12T00:46:44.388Z] Nothing to be done for setup. [2026-02-12T00:46:44.388Z] [2026-02-12T00:46:44.388Z] TESTING: [2026-02-12T00:46:58.614Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T00:47:21.557Z] 00:47:18.576 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. [2026-02-12T00:47:27.552Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T00:47:31.971Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T00:47:31.972Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T00:47:32.746Z] GC before operation: completed in 440.301 ms, heap usage 187.997 MB -> 74.418 MB. [2026-02-12T00:47:54.769Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:48:06.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:48:15.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:48:23.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:48:30.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:48:35.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:48:41.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:48:45.910Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:48:48.388Z] 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. [2026-02-12T00:48:48.388Z] The best model improves the baseline by 14.52%. [2026-02-12T00:48:48.388Z] Top recommended movies for user id 72: [2026-02-12T00:48:48.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:48:48.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:48:48.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:48:48.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:48:48.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:48:48.388Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (75974.224 ms) ====== [2026-02-12T00:48:48.388Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T00:48:49.168Z] GC before operation: completed in 423.175 ms, heap usage 469.804 MB -> 85.662 MB. [2026-02-12T00:48:57.446Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:49:04.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:49:11.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:49:19.902Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:49:24.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:49:29.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:49:35.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:49:41.071Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:49:41.071Z] 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. [2026-02-12T00:49:41.833Z] The best model improves the baseline by 14.52%. [2026-02-12T00:49:41.833Z] Top recommended movies for user id 72: [2026-02-12T00:49:41.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:49:41.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:49:41.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:49:41.834Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:49:41.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:49:41.834Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (52867.552 ms) ====== [2026-02-12T00:49:41.834Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T00:49:42.603Z] GC before operation: completed in 456.741 ms, heap usage 406.625 MB -> 87.668 MB. [2026-02-12T00:49:50.859Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:49:59.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:50:07.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:50:16.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:50:20.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:50:26.230Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:50:33.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:50:36.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:50:37.718Z] 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. [2026-02-12T00:50:37.718Z] The best model improves the baseline by 14.52%. [2026-02-12T00:50:38.485Z] Top recommended movies for user id 72: [2026-02-12T00:50:38.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:50:38.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:50:38.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:50:38.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:50:38.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:50:38.485Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (55936.457 ms) ====== [2026-02-12T00:50:38.485Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T00:50:38.485Z] GC before operation: completed in 411.919 ms, heap usage 288.356 MB -> 88.188 MB. [2026-02-12T00:50:46.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:50:55.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:51:03.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:51:13.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:51:17.546Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:51:24.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:51:30.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:51:33.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:51:34.464Z] 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. [2026-02-12T00:51:34.465Z] The best model improves the baseline by 14.52%. [2026-02-12T00:51:35.231Z] Top recommended movies for user id 72: [2026-02-12T00:51:35.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:51:35.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:51:35.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:51:35.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:51:35.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:51:35.231Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (56614.387 ms) ====== [2026-02-12T00:51:35.231Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T00:51:35.995Z] GC before operation: completed in 434.127 ms, heap usage 197.068 MB -> 88.332 MB. [2026-02-12T00:51:42.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:51:51.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:51:59.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:52:06.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:52:10.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:52:15.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:52:20.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:52:24.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:52:25.534Z] 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. [2026-02-12T00:52:25.534Z] The best model improves the baseline by 14.52%. [2026-02-12T00:52:25.534Z] Top recommended movies for user id 72: [2026-02-12T00:52:25.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:52:25.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:52:25.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:52:25.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:52:25.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:52:25.534Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (49804.012 ms) ====== [2026-02-12T00:52:25.534Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T00:52:26.316Z] GC before operation: completed in 396.871 ms, heap usage 125.109 MB -> 88.174 MB. [2026-02-12T00:52:34.561Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:52:42.876Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:52:54.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:53:02.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:53:06.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:53:11.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:53:15.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:53:20.155Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:53:20.949Z] 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. [2026-02-12T00:53:20.949Z] The best model improves the baseline by 14.52%. [2026-02-12T00:53:21.727Z] Top recommended movies for user id 72: [2026-02-12T00:53:21.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:53:21.727Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:53:21.727Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:53:21.727Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:53:21.727Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:53:21.727Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (55400.118 ms) ====== [2026-02-12T00:53:21.727Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T00:53:21.727Z] GC before operation: completed in 436.872 ms, heap usage 337.541 MB -> 88.741 MB. [2026-02-12T00:53:30.005Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:53:35.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:53:43.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:53:50.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:53:57.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:54:02.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:54:06.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:54:12.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:54:12.232Z] 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. [2026-02-12T00:54:12.232Z] The best model improves the baseline by 14.52%. [2026-02-12T00:54:13.000Z] Top recommended movies for user id 72: [2026-02-12T00:54:13.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:54:13.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:54:13.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:54:13.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:54:13.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:54:13.000Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51131.187 ms) ====== [2026-02-12T00:54:13.000Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T00:54:13.000Z] GC before operation: completed in 344.720 ms, heap usage 264.492 MB -> 88.649 MB. [2026-02-12T00:54:21.287Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:54:28.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:54:34.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:54:41.844Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:54:46.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:54:49.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:54:55.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:54:58.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:54:59.694Z] 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. [2026-02-12T00:54:59.694Z] The best model improves the baseline by 14.52%. [2026-02-12T00:54:59.694Z] Top recommended movies for user id 72: [2026-02-12T00:54:59.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:54:59.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:54:59.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:54:59.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:54:59.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:54:59.694Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46465.751 ms) ====== [2026-02-12T00:54:59.694Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T00:55:00.457Z] GC before operation: completed in 402.697 ms, heap usage 350.256 MB -> 88.892 MB. [2026-02-12T00:55:07.319Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:55:14.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:55:21.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:55:27.119Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:55:31.573Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:55:36.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:55:40.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:55:44.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:55:44.995Z] 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. [2026-02-12T00:55:44.995Z] The best model improves the baseline by 14.52%. [2026-02-12T00:55:44.995Z] Top recommended movies for user id 72: [2026-02-12T00:55:44.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:55:44.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:55:44.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:55:44.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:55:44.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:55:44.995Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (45130.092 ms) ====== [2026-02-12T00:55:44.995Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T00:55:45.767Z] GC before operation: completed in 395.016 ms, heap usage 294.009 MB -> 88.763 MB. [2026-02-12T00:55:52.899Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:55:59.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:56:08.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:56:15.474Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:56:18.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:56:24.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:56:28.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:56:33.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:56:35.162Z] 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. [2026-02-12T00:56:35.162Z] The best model improves the baseline by 14.52%. [2026-02-12T00:56:35.162Z] Top recommended movies for user id 72: [2026-02-12T00:56:35.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:56:35.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:56:35.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:56:35.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:56:35.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:56:35.162Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (49231.715 ms) ====== [2026-02-12T00:56:35.162Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T00:56:35.162Z] GC before operation: completed in 371.374 ms, heap usage 338.288 MB -> 88.965 MB. [2026-02-12T00:56:41.980Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:56:48.837Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:56:57.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:57:02.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:57:07.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:57:12.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:57:16.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:57:22.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:57:22.964Z] 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. [2026-02-12T00:57:22.964Z] The best model improves the baseline by 14.52%. [2026-02-12T00:57:23.726Z] Top recommended movies for user id 72: [2026-02-12T00:57:23.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:57:23.726Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:57:23.726Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:57:23.726Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:57:23.726Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:57:23.726Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (48514.047 ms) ====== [2026-02-12T00:57:23.726Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T00:57:24.489Z] GC before operation: completed in 376.627 ms, heap usage 232.747 MB -> 88.544 MB. [2026-02-12T00:57:32.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:57:39.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:57:46.350Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:57:53.704Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:57:57.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:58:01.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:58:07.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:58:10.529Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:58:11.295Z] 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. [2026-02-12T00:58:11.295Z] The best model improves the baseline by 14.52%. [2026-02-12T00:58:12.061Z] Top recommended movies for user id 72: [2026-02-12T00:58:12.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:58:12.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:58:12.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:58:12.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:58:12.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:58:12.061Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (47595.730 ms) ====== [2026-02-12T00:58:12.061Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T00:58:12.061Z] GC before operation: completed in 344.692 ms, heap usage 215.364 MB -> 88.770 MB. [2026-02-12T00:58:20.323Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:58:28.529Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:58:36.753Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:58:42.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:58:47.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:58:51.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:58:57.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:59:03.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:59:03.799Z] 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. [2026-02-12T00:59:03.799Z] The best model improves the baseline by 14.52%. [2026-02-12T00:59:04.563Z] Top recommended movies for user id 72: [2026-02-12T00:59:04.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:59:04.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:59:04.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:59:04.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:59:04.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:59:04.563Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (52325.085 ms) ====== [2026-02-12T00:59:04.563Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T00:59:04.563Z] GC before operation: completed in 443.390 ms, heap usage 216.186 MB -> 88.855 MB. [2026-02-12T00:59:12.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:59:19.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:59:28.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:59:34.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:59:39.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:59:44.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:59:48.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:59:53.171Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:59:53.942Z] 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. [2026-02-12T00:59:53.942Z] The best model improves the baseline by 14.52%. [2026-02-12T00:59:54.752Z] Top recommended movies for user id 72: [2026-02-12T00:59:54.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:59:54.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:59:54.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:59:54.752Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:59:54.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:59:54.752Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49679.781 ms) ====== [2026-02-12T00:59:54.752Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T00:59:54.752Z] GC before operation: completed in 374.972 ms, heap usage 176.337 MB -> 88.879 MB. [2026-02-12T01:00:01.628Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:00:10.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:00:17.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:00:25.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:00:29.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:00:34.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:00:38.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:00:43.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:00:43.685Z] 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. [2026-02-12T01:00:43.685Z] The best model improves the baseline by 14.52%. [2026-02-12T01:00:43.685Z] Top recommended movies for user id 72: [2026-02-12T01:00:43.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:00:43.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:00:43.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:00:43.685Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:00:43.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:00:43.685Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48969.575 ms) ====== [2026-02-12T01:00:43.685Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T01:00:44.468Z] GC before operation: completed in 381.673 ms, heap usage 221.070 MB -> 88.914 MB. [2026-02-12T01:00:54.375Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:01:01.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:01:08.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:01:15.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:01:18.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:01:23.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:01:27.659Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:01:32.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:01:32.114Z] 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. [2026-02-12T01:01:32.895Z] The best model improves the baseline by 14.52%. [2026-02-12T01:01:32.895Z] Top recommended movies for user id 72: [2026-02-12T01:01:32.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:01:32.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:01:32.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:01:32.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:01:32.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:01:32.895Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48706.340 ms) ====== [2026-02-12T01:01:32.895Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T01:01:33.668Z] GC before operation: completed in 302.917 ms, heap usage 126.065 MB -> 88.663 MB. [2026-02-12T01:01:40.605Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:01:47.461Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:01:54.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:02:01.222Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:02:05.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:02:09.566Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:02:15.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:02:19.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:02:19.774Z] 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. [2026-02-12T01:02:19.774Z] The best model improves the baseline by 14.52%. [2026-02-12T01:02:20.540Z] Top recommended movies for user id 72: [2026-02-12T01:02:20.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:02:20.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:02:20.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:02:20.540Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:02:20.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:02:20.540Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (47233.302 ms) ====== [2026-02-12T01:02:20.540Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T01:02:21.345Z] GC before operation: completed in 399.954 ms, heap usage 196.542 MB -> 88.852 MB. [2026-02-12T01:02:28.209Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:02:36.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:02:43.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:02:52.183Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:02:55.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:03:01.217Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:03:05.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:03:09.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:03:09.886Z] 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. [2026-02-12T01:03:09.886Z] The best model improves the baseline by 14.52%. [2026-02-12T01:03:10.654Z] Top recommended movies for user id 72: [2026-02-12T01:03:10.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:03:10.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:03:10.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:03:10.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:03:10.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:03:10.654Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49346.186 ms) ====== [2026-02-12T01:03:10.654Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T01:03:10.654Z] GC before operation: completed in 341.264 ms, heap usage 322.568 MB -> 88.843 MB. [2026-02-12T01:03:17.494Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:03:24.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:03:31.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:03:38.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:03:42.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:03:46.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:03:49.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:03:54.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:03:54.335Z] 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. [2026-02-12T01:03:54.335Z] The best model improves the baseline by 14.52%. [2026-02-12T01:03:55.101Z] Top recommended movies for user id 72: [2026-02-12T01:03:55.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:03:55.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:03:55.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:03:55.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:03:55.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:03:55.101Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44297.818 ms) ====== [2026-02-12T01:03:55.101Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T01:03:55.101Z] GC before operation: completed in 427.642 ms, heap usage 146.787 MB -> 88.702 MB. [2026-02-12T01:04:03.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:04:10.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:04:17.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:04:22.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:04:26.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:04:31.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:04:35.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:04:39.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:04:39.887Z] 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. [2026-02-12T01:04:40.668Z] The best model improves the baseline by 14.52%. [2026-02-12T01:04:40.668Z] Top recommended movies for user id 72: [2026-02-12T01:04:40.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:04:40.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:04:40.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:04:40.668Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:04:40.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:04:40.668Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45369.670 ms) ====== [2026-02-12T01:04:42.235Z] ----------------------------------- [2026-02-12T01:04:42.235Z] renaissance-movie-lens_0_PASSED [2026-02-12T01:04:42.235Z] ----------------------------------- [2026-02-12T01:04:42.235Z] [2026-02-12T01:04:42.236Z] TEST TEARDOWN: [2026-02-12T01:04:42.236Z] Nothing to be done for teardown. [2026-02-12T01:04:42.236Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 01:04:41 2026 Epoch Time (ms): 1770858281481