[2026-02-12T00:02:48.018Z] Running test renaissance-movie-lens_0 ... [2026-02-12T00:02:48.018Z] =============================================== [2026-02-12T00:02:48.018Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 19:02:45 2026 Epoch Time (ms): 1770854565980 [2026-02-12T00:02:48.018Z] variation: NoOptions [2026-02-12T00:02:48.018Z] JVM_OPTIONS: [2026-02-12T00:02:48.018Z] { \ [2026-02-12T00:02:48.018Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T00:02:48.018Z] echo "Nothing to be done for setup."; \ [2026-02-12T00:02:48.018Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17708506878587/renaissance-movie-lens_0"; \ [2026-02-12T00:02:48.018Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17708506878587/renaissance-movie-lens_0"; \ [2026-02-12T00:02:48.018Z] echo ""; echo "TESTING:"; \ [2026-02-12T00:02:48.018Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17708506878587/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T00:02:48.018Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17708506878587/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T00:02:48.018Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T00:02:48.018Z] echo "Nothing to be done for teardown."; \ [2026-02-12T00:02:48.018Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17708506878587/TestTargetResult"; [2026-02-12T00:02:48.018Z] [2026-02-12T00:02:48.018Z] TEST SETUP: [2026-02-12T00:02:48.018Z] Nothing to be done for setup. [2026-02-12T00:02:48.018Z] [2026-02-12T00:02:48.018Z] TESTING: [2026-02-12T00:03:10.007Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T00:03:36.428Z] 19:03:34.639 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T00:03:41.781Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T00:03:43.742Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T00:03:43.742Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T00:03:44.404Z] GC before operation: completed in 307.745 ms, heap usage 350.407 MB -> 74.974 MB. [2026-02-12T00:04:15.984Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:04:37.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:04:56.667Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:05:12.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:05:24.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:05:32.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:05:44.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:05:53.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:05:55.618Z] 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. [2026-02-12T00:05:56.128Z] The best model improves the baseline by 14.52%. [2026-02-12T00:05:56.597Z] Top recommended movies for user id 72: [2026-02-12T00:05:56.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:05:56.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:05:56.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:05:56.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:05:56.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:05:56.597Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (132506.287 ms) ====== [2026-02-12T00:05:56.597Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T00:05:57.027Z] GC before operation: completed in 340.122 ms, heap usage 1.031 GB -> 95.635 MB. [2026-02-12T00:06:14.971Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:06:30.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:06:49.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:07:05.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:07:14.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:07:24.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:07:33.658Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:07:41.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:07:42.480Z] 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. [2026-02-12T00:07:42.480Z] The best model improves the baseline by 14.52%. [2026-02-12T00:07:42.958Z] Top recommended movies for user id 72: [2026-02-12T00:07:42.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:07:42.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:07:42.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:07:42.958Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:07:42.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:07:42.958Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (105809.850 ms) ====== [2026-02-12T00:07:42.958Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T00:07:43.442Z] GC before operation: completed in 329.930 ms, heap usage 749.217 MB -> 91.606 MB. [2026-02-12T00:07:59.697Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:08:16.108Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:08:35.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:08:46.648Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:08:57.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:09:05.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:09:15.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:09:26.886Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:09:27.373Z] 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. [2026-02-12T00:09:27.373Z] The best model improves the baseline by 14.52%. [2026-02-12T00:09:27.840Z] Top recommended movies for user id 72: [2026-02-12T00:09:27.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:09:27.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:09:27.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:09:27.840Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:09:27.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:09:27.840Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (104695.619 ms) ====== [2026-02-12T00:09:27.840Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T00:09:28.399Z] GC before operation: completed in 459.106 ms, heap usage 1.031 GB -> 93.495 MB. [2026-02-12T00:09:50.491Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:09:59.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:10:14.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:10:25.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:10:37.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:10:49.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:10:59.014Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:11:08.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:11:09.118Z] 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. [2026-02-12T00:11:09.118Z] The best model improves the baseline by 14.52%. [2026-02-12T00:11:10.278Z] Top recommended movies for user id 72: [2026-02-12T00:11:10.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:11:10.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:11:10.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:11:10.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:11:10.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:11:10.279Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (101521.959 ms) ====== [2026-02-12T00:11:10.279Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T00:11:10.834Z] GC before operation: completed in 1093.837 ms, heap usage 820.821 MB -> 92.937 MB. [2026-02-12T00:11:33.230Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:11:44.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:12:09.963Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:12:18.917Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:12:28.609Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:12:40.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:12:47.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:12:55.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:12:56.930Z] 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. [2026-02-12T00:12:57.433Z] The best model improves the baseline by 14.52%. [2026-02-12T00:12:57.433Z] Top recommended movies for user id 72: [2026-02-12T00:12:57.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:12:57.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:12:57.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:12:57.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:12:57.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:12:57.433Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (106475.622 ms) ====== [2026-02-12T00:12:57.433Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T00:12:57.950Z] GC before operation: completed in 379.931 ms, heap usage 1.016 GB -> 93.805 MB. [2026-02-12T00:13:20.337Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:13:31.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:13:46.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:13:59.984Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:14:10.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:14:16.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:14:27.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:14:34.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:14:35.245Z] 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. [2026-02-12T00:14:35.245Z] The best model improves the baseline by 14.52%. [2026-02-12T00:14:35.746Z] Top recommended movies for user id 72: [2026-02-12T00:14:35.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:14:35.746Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:14:35.746Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:14:35.746Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:14:35.746Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:14:35.746Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (97925.627 ms) ====== [2026-02-12T00:14:35.746Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T00:14:36.277Z] GC before operation: completed in 410.701 ms, heap usage 222.941 MB -> 89.114 MB. [2026-02-12T00:14:51.348Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:15:01.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:15:24.655Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:15:37.396Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:15:44.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:15:53.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:16:04.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:16:16.580Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:16:18.436Z] 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. [2026-02-12T00:16:18.436Z] The best model improves the baseline by 14.52%. [2026-02-12T00:16:19.381Z] Top recommended movies for user id 72: [2026-02-12T00:16:19.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:16:19.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:16:19.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:16:19.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:16:19.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:16:19.381Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (103028.553 ms) ====== [2026-02-12T00:16:19.381Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T00:16:19.381Z] GC before operation: completed in 269.068 ms, heap usage 641.038 MB -> 92.832 MB. [2026-02-12T00:16:35.425Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:16:50.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:17:08.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:17:26.675Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:17:35.989Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:17:44.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:17:54.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:18:04.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:18:04.180Z] 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. [2026-02-12T00:18:04.180Z] The best model improves the baseline by 14.52%. [2026-02-12T00:18:05.380Z] Top recommended movies for user id 72: [2026-02-12T00:18:05.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:18:05.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:18:05.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:18:05.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:18:05.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:18:05.380Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (105703.062 ms) ====== [2026-02-12T00:18:05.380Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T00:18:05.992Z] GC before operation: completed in 543.082 ms, heap usage 931.493 MB -> 93.946 MB. [2026-02-12T00:18:22.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:18:37.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:18:56.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:19:10.275Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:19:21.410Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:19:30.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:19:41.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:19:51.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:19:52.947Z] 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. [2026-02-12T00:19:52.947Z] The best model improves the baseline by 14.52%. [2026-02-12T00:19:53.444Z] Top recommended movies for user id 72: [2026-02-12T00:19:53.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:19:53.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:19:53.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:19:53.444Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:19:53.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:19:53.444Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (107411.908 ms) ====== [2026-02-12T00:19:53.444Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T00:19:53.444Z] GC before operation: completed in 227.477 ms, heap usage 395.370 MB -> 89.386 MB. [2026-02-12T00:20:11.981Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:20:27.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:20:49.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:21:03.450Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:21:11.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:21:21.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:21:26.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:21:33.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:21:33.246Z] 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. [2026-02-12T00:21:33.246Z] The best model improves the baseline by 14.52%. [2026-02-12T00:21:33.717Z] Top recommended movies for user id 72: [2026-02-12T00:21:33.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:21:33.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:21:33.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:21:33.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:21:33.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:21:33.717Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (100321.634 ms) ====== [2026-02-12T00:21:33.717Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T00:21:34.269Z] GC before operation: completed in 304.113 ms, heap usage 359.838 MB -> 90.751 MB. [2026-02-12T00:21:49.158Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:22:04.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:22:20.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:22:33.993Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:22:40.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:22:48.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:22:55.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:23:03.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:23:04.141Z] 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. [2026-02-12T00:23:04.141Z] The best model improves the baseline by 14.52%. [2026-02-12T00:23:04.719Z] Top recommended movies for user id 72: [2026-02-12T00:23:04.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:23:04.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:23:04.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:23:04.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:23:04.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:23:04.719Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (90668.061 ms) ====== [2026-02-12T00:23:04.719Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T00:23:05.330Z] GC before operation: completed in 292.893 ms, heap usage 474.722 MB -> 89.409 MB. [2026-02-12T00:23:21.153Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:23:34.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:23:47.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:23:58.177Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:24:06.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:24:13.804Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:24:21.137Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:24:27.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:24:29.205Z] 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. [2026-02-12T00:24:29.206Z] The best model improves the baseline by 14.52%. [2026-02-12T00:24:29.822Z] Top recommended movies for user id 72: [2026-02-12T00:24:29.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:24:29.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:24:29.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:24:29.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:24:29.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:24:29.822Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (84731.254 ms) ====== [2026-02-12T00:24:29.822Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T00:24:31.209Z] GC before operation: completed in 1211.092 ms, heap usage 108.316 MB -> 94.007 MB. [2026-02-12T00:24:49.977Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:25:03.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:25:19.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:25:32.448Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:25:38.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:25:48.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:25:55.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:26:07.044Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:26:07.617Z] 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. [2026-02-12T00:26:08.071Z] The best model improves the baseline by 14.52%. [2026-02-12T00:26:08.590Z] Top recommended movies for user id 72: [2026-02-12T00:26:08.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:26:08.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:26:08.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:26:08.590Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:26:08.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:26:08.590Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (97434.011 ms) ====== [2026-02-12T00:26:08.590Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T00:26:08.590Z] GC before operation: completed in 337.196 ms, heap usage 355.221 MB -> 89.644 MB. [2026-02-12T00:26:27.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:26:46.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:27:01.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:27:14.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:27:23.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:27:32.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:27:46.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:27:55.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:27:56.485Z] 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. [2026-02-12T00:27:56.485Z] The best model improves the baseline by 14.52%. [2026-02-12T00:27:56.902Z] Top recommended movies for user id 72: [2026-02-12T00:27:56.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:27:56.902Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:27:56.902Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:27:56.902Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:27:56.902Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:27:56.902Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (108093.709 ms) ====== [2026-02-12T00:27:56.902Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T00:27:56.903Z] GC before operation: completed in 255.735 ms, heap usage 247.193 MB -> 89.282 MB. [2026-02-12T00:28:12.487Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:28:25.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:28:40.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:28:51.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:29:00.874Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:29:10.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:29:16.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:29:24.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:29:26.105Z] 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. [2026-02-12T00:29:26.105Z] The best model improves the baseline by 14.52%. [2026-02-12T00:29:26.606Z] Top recommended movies for user id 72: [2026-02-12T00:29:26.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:29:26.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:29:26.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:29:26.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:29:26.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:29:26.606Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (89364.751 ms) ====== [2026-02-12T00:29:26.606Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T00:29:26.606Z] GC before operation: completed in 238.283 ms, heap usage 620.657 MB -> 93.235 MB. [2026-02-12T00:29:39.484Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:29:58.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:30:11.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:30:27.140Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:30:32.168Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:30:41.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:30:50.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:30:57.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:30:58.885Z] 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. [2026-02-12T00:30:58.885Z] The best model improves the baseline by 14.52%. [2026-02-12T00:30:59.856Z] Top recommended movies for user id 72: [2026-02-12T00:30:59.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:30:59.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:30:59.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:30:59.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:30:59.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:30:59.856Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (92929.890 ms) ====== [2026-02-12T00:30:59.856Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T00:31:00.409Z] GC before operation: completed in 484.072 ms, heap usage 1.793 GB -> 95.704 MB. [2026-02-12T00:31:15.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:31:31.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:31:42.061Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:31:57.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:32:06.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:32:16.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:32:22.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:32:30.152Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:32:30.583Z] 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. [2026-02-12T00:32:31.132Z] The best model improves the baseline by 14.52%. [2026-02-12T00:32:31.132Z] Top recommended movies for user id 72: [2026-02-12T00:32:31.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:32:31.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:32:31.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:32:31.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:32:31.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:32:31.132Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (91118.901 ms) ====== [2026-02-12T00:32:31.132Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T00:32:32.453Z] GC before operation: completed in 1152.819 ms, heap usage 413.934 MB -> 89.638 MB. [2026-02-12T00:32:54.555Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:33:06.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:33:24.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:33:33.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:33:40.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:33:48.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:33:54.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:34:03.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:34:03.397Z] 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. [2026-02-12T00:34:03.397Z] The best model improves the baseline by 14.52%. [2026-02-12T00:34:03.397Z] Top recommended movies for user id 72: [2026-02-12T00:34:03.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:34:03.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:34:03.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:34:03.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:34:03.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:34:03.397Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (90793.428 ms) ====== [2026-02-12T00:34:03.397Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T00:34:03.397Z] GC before operation: completed in 306.702 ms, heap usage 801.797 MB -> 93.941 MB. [2026-02-12T00:34:21.975Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:34:32.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:34:43.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:34:59.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:35:07.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:35:15.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:35:24.448Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:35:31.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:35:33.047Z] 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. [2026-02-12T00:35:33.047Z] The best model improves the baseline by 14.52%. [2026-02-12T00:35:33.605Z] Top recommended movies for user id 72: [2026-02-12T00:35:33.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:35:33.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:35:33.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:35:33.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:35:33.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:35:33.605Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (89825.079 ms) ====== [2026-02-12T00:35:33.605Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T00:35:33.605Z] GC before operation: completed in 506.306 ms, heap usage 1.884 GB -> 95.741 MB. [2026-02-12T00:35:52.692Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T00:36:08.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T00:36:24.657Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T00:36:37.616Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T00:36:48.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T00:36:56.473Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T00:37:05.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T00:37:12.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T00:37:14.398Z] 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. [2026-02-12T00:37:14.398Z] The best model improves the baseline by 14.52%. [2026-02-12T00:37:16.104Z] Top recommended movies for user id 72: [2026-02-12T00:37:16.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T00:37:16.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T00:37:16.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T00:37:16.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T00:37:16.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T00:37:16.104Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (102124.536 ms) ====== [2026-02-12T00:37:20.713Z] ----------------------------------- [2026-02-12T00:37:20.713Z] renaissance-movie-lens_0_PASSED [2026-02-12T00:37:20.713Z] ----------------------------------- [2026-02-12T00:37:20.713Z] [2026-02-12T00:37:20.713Z] TEST TEARDOWN: [2026-02-12T00:37:20.713Z] Nothing to be done for teardown. [2026-02-12T00:37:20.713Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 19:37:20 2026 Epoch Time (ms): 1770856640629