[2026-02-05T00:18:53.033Z] Running test renaissance-movie-lens_0 ... [2026-02-05T00:18:53.600Z] =============================================== [2026-02-05T00:18:54.146Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 19:18:53 2026 Epoch Time (ms): 1770250733508 [2026-02-05T00:18:54.146Z] variation: NoOptions [2026-02-05T00:18:54.146Z] JVM_OPTIONS: [2026-02-05T00:18:54.146Z] { \ [2026-02-05T00:18:54.146Z] echo ""; echo "TEST SETUP:"; \ [2026-02-05T00:18:54.146Z] echo "Nothing to be done for setup."; \ [2026-02-05T00:18:54.146Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17702469811197/renaissance-movie-lens_0"; \ [2026-02-05T00:18:54.146Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17702469811197/renaissance-movie-lens_0"; \ [2026-02-05T00:18:54.146Z] echo ""; echo "TESTING:"; \ [2026-02-05T00:18:54.146Z] "/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_17702469811197/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-05T00:18:54.146Z] 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_17702469811197/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-05T00:18:54.146Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-05T00:18:54.146Z] echo "Nothing to be done for teardown."; \ [2026-02-05T00:18:54.146Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17702469811197/TestTargetResult"; [2026-02-05T00:18:54.146Z] [2026-02-05T00:18:54.146Z] TEST SETUP: [2026-02-05T00:18:54.146Z] Nothing to be done for setup. [2026-02-05T00:18:54.146Z] [2026-02-05T00:18:54.146Z] TESTING: [2026-02-05T00:19:21.089Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-05T00:19:47.096Z] 19:19:44.329 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-05T00:19:51.349Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-05T00:19:52.354Z] Training: 60056, validation: 20285, test: 19854 [2026-02-05T00:19:52.355Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-05T00:19:52.893Z] GC before operation: completed in 319.408 ms, heap usage 366.079 MB -> 75.030 MB. [2026-02-05T00:20:24.308Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:20:55.862Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:21:08.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:21:24.957Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:21:32.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:21:42.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:21:53.684Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:22:03.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:22:04.831Z] 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. [2026-02-05T00:22:04.831Z] The best model improves the baseline by 14.52%. [2026-02-05T00:22:05.956Z] Top recommended movies for user id 72: [2026-02-05T00:22:05.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:22:05.956Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:22:05.956Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:22:05.956Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:22:05.956Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:22:05.956Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (132844.788 ms) ====== [2026-02-05T00:22:05.956Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-05T00:22:06.582Z] GC before operation: completed in 781.449 ms, heap usage 774.428 MB -> 92.030 MB. [2026-02-05T00:22:25.070Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:22:40.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:22:51.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:23:05.296Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:23:11.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:23:23.277Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:23:35.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:23:44.619Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:23:45.081Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:23:45.081Z] The best model improves the baseline by 14.52%. [2026-02-05T00:23:45.554Z] Top recommended movies for user id 72: [2026-02-05T00:23:45.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:23:45.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:23:45.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:23:45.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:23:45.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:23:45.554Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (99174.089 ms) ====== [2026-02-05T00:23:45.554Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-05T00:23:46.068Z] GC before operation: completed in 470.885 ms, heap usage 716.366 MB -> 91.929 MB. [2026-02-05T00:24:05.835Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:24:21.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:24:38.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:24:53.878Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:25:02.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:25:11.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:25:19.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:25:28.357Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:25:29.730Z] 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. [2026-02-05T00:25:30.200Z] The best model improves the baseline by 14.52%. [2026-02-05T00:25:30.723Z] Top recommended movies for user id 72: [2026-02-05T00:25:30.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:25:30.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:25:30.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:25:30.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:25:30.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:25:30.723Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (104379.679 ms) ====== [2026-02-05T00:25:30.723Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-05T00:25:30.723Z] GC before operation: completed in 347.299 ms, heap usage 920.318 MB -> 93.270 MB. [2026-02-05T00:25:47.199Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:26:02.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:26:15.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:26:35.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:26:42.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:26:49.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:26:55.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:27:02.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:27:02.205Z] 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. [2026-02-05T00:27:02.205Z] The best model improves the baseline by 14.52%. [2026-02-05T00:27:03.391Z] Top recommended movies for user id 72: [2026-02-05T00:27:03.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:27:03.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:27:03.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:27:03.391Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:27:03.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:27:03.391Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (92476.003 ms) ====== [2026-02-05T00:27:03.391Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-05T00:27:03.876Z] GC before operation: completed in 377.112 ms, heap usage 1.044 GB -> 94.056 MB. [2026-02-05T00:27:19.587Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:27:35.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:27:51.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:28:02.645Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:28:11.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:28:20.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:28:27.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:28:37.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:28:37.128Z] 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. [2026-02-05T00:28:37.128Z] The best model improves the baseline by 14.52%. [2026-02-05T00:28:37.750Z] Top recommended movies for user id 72: [2026-02-05T00:28:37.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:28:37.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:28:37.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:28:37.750Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:28:37.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:28:37.750Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (94174.551 ms) ====== [2026-02-05T00:28:37.750Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-05T00:28:38.203Z] GC before operation: completed in 274.858 ms, heap usage 315.537 MB -> 88.893 MB. [2026-02-05T00:28:56.542Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:29:09.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:29:22.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:29:38.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:29:49.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:29:58.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:30:09.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:30:17.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:30:19.724Z] 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. [2026-02-05T00:30:19.724Z] The best model improves the baseline by 14.52%. [2026-02-05T00:30:20.209Z] Top recommended movies for user id 72: [2026-02-05T00:30:20.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:30:20.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:30:20.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:30:20.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:30:20.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:30:20.209Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (102034.740 ms) ====== [2026-02-05T00:30:20.209Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-05T00:30:20.209Z] GC before operation: completed in 265.275 ms, heap usage 160.467 MB -> 89.048 MB. [2026-02-05T00:30:38.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:30:52.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:31:11.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:31:23.141Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:31:32.648Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:31:40.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:31:51.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:32:01.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:32:01.878Z] 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. [2026-02-05T00:32:01.878Z] The best model improves the baseline by 14.52%. [2026-02-05T00:32:02.489Z] Top recommended movies for user id 72: [2026-02-05T00:32:02.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:32:02.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:32:02.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:32:02.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:32:02.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:32:02.489Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (102032.850 ms) ====== [2026-02-05T00:32:02.489Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-05T00:32:02.989Z] GC before operation: completed in 359.846 ms, heap usage 485.520 MB -> 89.542 MB. [2026-02-05T00:32:21.890Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:32:32.699Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:32:45.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:32:54.853Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:33:02.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:33:16.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:33:25.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:33:31.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:33:32.734Z] 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. [2026-02-05T00:33:32.734Z] The best model improves the baseline by 14.52%. [2026-02-05T00:33:33.979Z] Top recommended movies for user id 72: [2026-02-05T00:33:33.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:33:33.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:33:33.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:33:33.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:33:33.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:33:33.979Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (91164.481 ms) ====== [2026-02-05T00:33:33.979Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-05T00:33:34.444Z] GC before operation: completed in 473.167 ms, heap usage 1.621 GB -> 95.677 MB. [2026-02-05T00:33:50.413Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:34:09.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:34:22.403Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:34:38.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:34:46.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:34:54.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:35:04.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:35:13.413Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:35:13.413Z] 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. [2026-02-05T00:35:13.982Z] The best model improves the baseline by 14.52%. [2026-02-05T00:35:13.982Z] Top recommended movies for user id 72: [2026-02-05T00:35:13.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:35:13.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:35:13.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:35:13.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:35:13.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:35:13.982Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (99639.709 ms) ====== [2026-02-05T00:35:13.982Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-05T00:35:14.432Z] GC before operation: completed in 348.980 ms, heap usage 492.289 MB -> 89.518 MB. [2026-02-05T00:35:27.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:35:43.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:35:59.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:36:18.563Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:36:26.478Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:36:37.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:36:46.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:36:57.871Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:36:57.871Z] 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. [2026-02-05T00:36:57.871Z] The best model improves the baseline by 14.52%. [2026-02-05T00:36:57.871Z] Top recommended movies for user id 72: [2026-02-05T00:36:57.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:36:57.871Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:36:57.871Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:36:57.871Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:36:57.871Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:36:57.871Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (103190.131 ms) ====== [2026-02-05T00:36:57.871Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-05T00:36:58.408Z] GC before operation: completed in 700.163 ms, heap usage 399.710 MB -> 89.537 MB. [2026-02-05T00:37:14.738Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:37:33.231Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:37:49.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:38:03.099Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:38:14.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:38:24.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:38:31.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:38:45.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:38:45.272Z] 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. [2026-02-05T00:38:45.272Z] The best model improves the baseline by 14.52%. [2026-02-05T00:38:46.510Z] Top recommended movies for user id 72: [2026-02-05T00:38:46.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:38:46.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:38:46.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:38:46.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:38:46.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:38:46.510Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (107913.822 ms) ====== [2026-02-05T00:38:46.510Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-05T00:38:46.510Z] GC before operation: completed in 327.485 ms, heap usage 162.424 MB -> 92.332 MB. [2026-02-05T00:39:04.957Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:39:20.639Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:39:36.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:39:52.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:40:02.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:40:10.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:40:17.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:40:25.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:40:25.804Z] 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. [2026-02-05T00:40:25.805Z] The best model improves the baseline by 14.52%. [2026-02-05T00:40:26.270Z] Top recommended movies for user id 72: [2026-02-05T00:40:26.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:40:26.270Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:40:26.270Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:40:26.270Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:40:26.270Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:40:26.270Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (99694.992 ms) ====== [2026-02-05T00:40:26.270Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-05T00:40:26.785Z] GC before operation: completed in 490.129 ms, heap usage 887.417 MB -> 94.017 MB. [2026-02-05T00:40:45.944Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:41:01.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:41:15.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:41:37.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:41:43.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:41:50.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:41:57.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:42:02.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:42:03.237Z] 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. [2026-02-05T00:42:03.237Z] The best model improves the baseline by 14.52%. [2026-02-05T00:42:03.724Z] Top recommended movies for user id 72: [2026-02-05T00:42:03.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:42:03.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:42:03.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:42:03.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:42:03.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:42:03.725Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (96990.476 ms) ====== [2026-02-05T00:42:03.725Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-05T00:42:04.243Z] GC before operation: completed in 411.397 ms, heap usage 2.434 GB -> 100.940 MB. [2026-02-05T00:42:24.375Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:42:37.466Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:42:53.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:43:04.704Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:43:10.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:43:15.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:43:21.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:43:28.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:43:28.292Z] 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. [2026-02-05T00:43:28.292Z] The best model improves the baseline by 14.52%. [2026-02-05T00:43:28.744Z] Top recommended movies for user id 72: [2026-02-05T00:43:28.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:43:28.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:43:28.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:43:28.744Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:43:28.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:43:28.744Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (84516.341 ms) ====== [2026-02-05T00:43:28.744Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-05T00:43:29.459Z] GC before operation: completed in 311.092 ms, heap usage 482.200 MB -> 89.614 MB. [2026-02-05T00:43:48.237Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:43:59.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:44:12.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:44:26.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:44:31.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:44:40.434Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:44:49.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:45:01.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:45:01.353Z] 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. [2026-02-05T00:45:01.353Z] The best model improves the baseline by 14.52%. [2026-02-05T00:45:01.821Z] Top recommended movies for user id 72: [2026-02-05T00:45:01.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:45:01.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:45:01.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:45:01.821Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:45:01.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:45:01.821Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (92617.768 ms) ====== [2026-02-05T00:45:01.821Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-05T00:45:01.821Z] GC before operation: completed in 350.939 ms, heap usage 875.094 MB -> 94.144 MB. [2026-02-05T00:45:20.169Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:45:31.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:45:45.458Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:45:58.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:46:05.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:46:12.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:46:20.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:46:29.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:46:29.626Z] 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. [2026-02-05T00:46:29.626Z] The best model improves the baseline by 14.52%. [2026-02-05T00:46:30.679Z] Top recommended movies for user id 72: [2026-02-05T00:46:30.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:46:30.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:46:30.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:46:30.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:46:30.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:46:30.679Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (88642.485 ms) ====== [2026-02-05T00:46:30.679Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-05T00:46:30.679Z] GC before operation: completed in 254.075 ms, heap usage 151.414 MB -> 92.748 MB. [2026-02-05T00:46:43.577Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:46:54.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:47:07.859Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:47:21.596Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:47:28.005Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:47:35.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:47:44.918Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:47:52.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:47:54.911Z] 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. [2026-02-05T00:47:54.911Z] The best model improves the baseline by 14.52%. [2026-02-05T00:47:54.911Z] Top recommended movies for user id 72: [2026-02-05T00:47:54.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:47:54.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:47:54.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:47:54.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:47:54.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:47:54.911Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (83999.006 ms) ====== [2026-02-05T00:47:54.911Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-05T00:47:55.374Z] GC before operation: completed in 345.100 ms, heap usage 1.478 GB -> 95.505 MB. [2026-02-05T00:48:11.446Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:48:20.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:48:34.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:48:47.814Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:48:54.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:49:03.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:49:13.433Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:49:21.243Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:49:22.497Z] 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. [2026-02-05T00:49:22.498Z] The best model improves the baseline by 14.52%. [2026-02-05T00:49:23.003Z] Top recommended movies for user id 72: [2026-02-05T00:49:23.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:49:23.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:49:23.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:49:23.003Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:49:23.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:49:23.003Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (87857.730 ms) ====== [2026-02-05T00:49:23.003Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-05T00:49:23.428Z] GC before operation: completed in 339.318 ms, heap usage 244.713 MB -> 92.757 MB. [2026-02-05T00:49:37.478Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:49:50.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:50:04.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:50:17.456Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:50:21.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:50:27.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:50:35.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:50:41.915Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:50:42.445Z] 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. [2026-02-05T00:50:43.026Z] The best model improves the baseline by 14.52%. [2026-02-05T00:50:43.026Z] Top recommended movies for user id 72: [2026-02-05T00:50:43.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:50:43.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:50:43.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:50:43.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:50:43.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:50:43.026Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (79497.245 ms) ====== [2026-02-05T00:50:43.026Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-05T00:50:44.212Z] GC before operation: completed in 1029.858 ms, heap usage 337.754 MB -> 89.455 MB. [2026-02-05T00:51:02.985Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:51:14.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:51:25.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:51:38.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:51:47.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:51:55.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:52:06.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:52:12.838Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:52:13.470Z] 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. [2026-02-05T00:52:13.957Z] The best model improves the baseline by 14.52%. [2026-02-05T00:52:14.507Z] Top recommended movies for user id 72: [2026-02-05T00:52:14.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:52:14.507Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:52:14.507Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:52:14.507Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:52:14.507Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:52:14.507Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (90559.984 ms) ====== [2026-02-05T00:52:21.679Z] ----------------------------------- [2026-02-05T00:52:21.679Z] renaissance-movie-lens_0_PASSED [2026-02-05T00:52:21.679Z] ----------------------------------- [2026-02-05T00:52:22.132Z] [2026-02-05T00:52:22.132Z] TEST TEARDOWN: [2026-02-05T00:52:22.132Z] Nothing to be done for teardown. [2026-02-05T00:52:23.149Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 19:52:22 2026 Epoch Time (ms): 1770252742699