[2026-02-13T01:48:07.187Z] Running test renaissance-movie-lens_0 ... [2026-02-13T01:48:07.187Z] =============================================== [2026-02-13T01:48:07.187Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 01:48:07 2026 Epoch Time (ms): 1770947287130 [2026-02-13T01:48:07.537Z] variation: NoOptions [2026-02-13T01:48:07.537Z] JVM_OPTIONS: [2026-02-13T01:48:07.537Z] { \ [2026-02-13T01:48:07.537Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T01:48:07.537Z] echo "Nothing to be done for setup."; \ [2026-02-13T01:48:07.537Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709460731711\\renaissance-movie-lens_0"; \ [2026-02-13T01:48:07.537Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709460731711\\renaissance-movie-lens_0"; \ [2026-02-13T01:48:07.537Z] echo ""; echo "TESTING:"; \ [2026-02-13T01:48:07.537Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709460731711\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-13T01:48:07.537Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709460731711\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T01:48:07.537Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T01:48:07.537Z] echo "Nothing to be done for teardown."; \ [2026-02-13T01:48:07.537Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17709460731711\\TestTargetResult"; [2026-02-13T01:48:07.537Z] [2026-02-13T01:48:07.537Z] TEST SETUP: [2026-02-13T01:48:07.537Z] Nothing to be done for setup. [2026-02-13T01:48:07.537Z] [2026-02-13T01:48:07.537Z] TESTING: [2026-02-13T01:48:08.263Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T01:48:08.263Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17709460731711/renaissance-movie-lens_0/launcher-014807-9472671552775891409/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T01:48:08.263Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T01:48:08.263Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T01:48:21.407Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-13T01:48:27.374Z] 01:48:26.652 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-13T01:48:28.664Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T01:48:29.060Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T01:48:29.060Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T01:48:29.492Z] GC before operation: completed in 113.972 ms, heap usage 165.516 MB -> 76.201 MB. [2026-02-13T01:48:40.496Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:48:51.413Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:49:00.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:49:09.274Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:49:13.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:49:19.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:49:23.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:49:28.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:49:29.516Z] 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. [2026-02-13T01:49:29.516Z] The best model improves the baseline by 14.52%. [2026-02-13T01:49:29.862Z] Top recommended movies for user id 72: [2026-02-13T01:49:29.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:49:29.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:49:29.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:49:29.862Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:49:29.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:49:29.862Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (60336.721 ms) ====== [2026-02-13T01:49:29.862Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T01:49:29.862Z] GC before operation: completed in 139.531 ms, heap usage 159.485 MB -> 86.774 MB. [2026-02-13T01:49:37.164Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:49:46.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:49:54.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:50:02.286Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:50:06.132Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:50:10.944Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:50:16.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:50:20.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:50:21.120Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T01:50:21.121Z] The best model improves the baseline by 14.52%. [2026-02-13T01:50:21.468Z] Top recommended movies for user id 72: [2026-02-13T01:50:21.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:50:21.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:50:21.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:50:21.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:50:21.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:50:21.468Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51606.150 ms) ====== [2026-02-13T01:50:21.468Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T01:50:21.468Z] GC before operation: completed in 120.961 ms, heap usage 260.873 MB -> 88.974 MB. [2026-02-13T01:50:28.789Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:50:37.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:50:45.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:50:53.910Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:50:57.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:51:01.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:51:06.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:51:11.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:51:11.196Z] 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. [2026-02-13T01:51:11.196Z] The best model improves the baseline by 14.52%. [2026-02-13T01:51:11.196Z] Top recommended movies for user id 72: [2026-02-13T01:51:11.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:51:11.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:51:11.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:51:11.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:51:11.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:51:11.196Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (49805.483 ms) ====== [2026-02-13T01:51:11.196Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T01:51:11.557Z] GC before operation: completed in 125.889 ms, heap usage 183.859 MB -> 89.516 MB. [2026-02-13T01:51:18.844Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:51:26.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:51:35.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:51:42.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:51:47.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:51:50.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:51:55.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:52:00.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:52:00.593Z] 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. [2026-02-13T01:52:00.593Z] The best model improves the baseline by 14.52%. [2026-02-13T01:52:00.945Z] Top recommended movies for user id 72: [2026-02-13T01:52:00.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:52:00.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:52:00.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:52:00.945Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:52:00.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:52:00.945Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (49473.601 ms) ====== [2026-02-13T01:52:00.945Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T01:52:00.945Z] GC before operation: completed in 123.052 ms, heap usage 259.974 MB -> 89.885 MB. [2026-02-13T01:52:09.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:52:17.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:52:26.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:52:33.414Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:52:37.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:52:41.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:52:45.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:52:50.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:52:50.644Z] 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. [2026-02-13T01:52:50.644Z] The best model improves the baseline by 14.52%. [2026-02-13T01:52:51.008Z] Top recommended movies for user id 72: [2026-02-13T01:52:51.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:52:51.008Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:52:51.008Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:52:51.008Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:52:51.008Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:52:51.008Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (49953.704 ms) ====== [2026-02-13T01:52:51.008Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T01:52:51.008Z] GC before operation: completed in 119.266 ms, heap usage 352.803 MB -> 90.050 MB. [2026-02-13T01:52:58.536Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:53:07.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:53:14.911Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:53:22.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:53:26.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:53:30.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:53:35.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:53:39.465Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:53:40.266Z] 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. [2026-02-13T01:53:40.266Z] The best model improves the baseline by 14.52%. [2026-02-13T01:53:40.266Z] Top recommended movies for user id 72: [2026-02-13T01:53:40.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:53:40.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:53:40.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:53:40.266Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:53:40.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:53:40.266Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (49262.561 ms) ====== [2026-02-13T01:53:40.266Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T01:53:40.615Z] GC before operation: completed in 118.863 ms, heap usage 248.668 MB -> 90.205 MB. [2026-02-13T01:53:47.929Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:53:56.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:54:04.162Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:54:11.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:54:15.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:54:20.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:54:24.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:54:29.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:54:29.620Z] 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. [2026-02-13T01:54:29.620Z] The best model improves the baseline by 14.52%. [2026-02-13T01:54:29.967Z] Top recommended movies for user id 72: [2026-02-13T01:54:29.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:54:29.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:54:29.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:54:29.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:54:29.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:54:29.967Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (49386.160 ms) ====== [2026-02-13T01:54:29.967Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T01:54:29.967Z] GC before operation: completed in 119.533 ms, heap usage 259.246 MB -> 90.144 MB. [2026-02-13T01:54:37.266Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:54:44.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:54:53.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:55:00.818Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:55:04.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:55:09.474Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:55:14.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:55:18.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:55:18.412Z] 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. [2026-02-13T01:55:18.811Z] The best model improves the baseline by 14.52%. [2026-02-13T01:55:18.811Z] Top recommended movies for user id 72: [2026-02-13T01:55:18.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:55:18.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:55:18.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:55:18.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:55:18.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:55:18.811Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (48914.603 ms) ====== [2026-02-13T01:55:18.811Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T01:55:19.159Z] GC before operation: completed in 120.607 ms, heap usage 243.370 MB -> 90.336 MB. [2026-02-13T01:55:26.479Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:55:33.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:55:42.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:55:50.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:55:53.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:55:57.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:56:02.603Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:56:07.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:56:07.389Z] 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. [2026-02-13T01:56:07.389Z] The best model improves the baseline by 14.52%. [2026-02-13T01:56:07.738Z] Top recommended movies for user id 72: [2026-02-13T01:56:07.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:56:07.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:56:07.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:56:07.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:56:07.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:56:07.738Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (48650.826 ms) ====== [2026-02-13T01:56:07.738Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T01:56:07.738Z] GC before operation: completed in 117.720 ms, heap usage 156.087 MB -> 90.183 MB. [2026-02-13T01:56:15.051Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:56:23.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:56:31.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:56:38.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:56:43.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:56:47.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:56:52.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:56:55.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:56:56.633Z] 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. [2026-02-13T01:56:56.634Z] The best model improves the baseline by 14.52%. [2026-02-13T01:56:56.634Z] Top recommended movies for user id 72: [2026-02-13T01:56:56.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:56:56.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:56:56.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:56:56.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:56:56.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:56:56.634Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (48946.041 ms) ====== [2026-02-13T01:56:56.634Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T01:56:56.981Z] GC before operation: completed in 118.902 ms, heap usage 380.544 MB -> 90.711 MB. [2026-02-13T01:57:04.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:57:11.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:57:20.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:57:27.895Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:57:31.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:57:36.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:57:40.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:57:45.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:57:45.259Z] 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. [2026-02-13T01:57:45.259Z] The best model improves the baseline by 14.52%. [2026-02-13T01:57:45.604Z] Top recommended movies for user id 72: [2026-02-13T01:57:45.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:57:45.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:57:45.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:57:45.604Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:57:45.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:57:45.604Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (48709.084 ms) ====== [2026-02-13T01:57:45.604Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T01:57:45.604Z] GC before operation: completed in 117.483 ms, heap usage 170.156 MB -> 90.105 MB. [2026-02-13T01:57:52.911Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:58:01.872Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:58:09.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:58:16.566Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:58:20.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:58:25.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:58:29.987Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:58:33.795Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:58:34.141Z] 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. [2026-02-13T01:58:34.506Z] The best model improves the baseline by 14.52%. [2026-02-13T01:58:34.506Z] Top recommended movies for user id 72: [2026-02-13T01:58:34.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:58:34.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:58:34.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:58:34.506Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:58:34.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:58:34.506Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48906.552 ms) ====== [2026-02-13T01:58:34.506Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T01:58:34.860Z] GC before operation: completed in 127.619 ms, heap usage 381.121 MB -> 90.606 MB. [2026-02-13T01:58:43.784Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:58:49.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:58:58.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:59:06.001Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:59:09.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:59:14.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:59:19.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:59:23.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:59:23.582Z] 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. [2026-02-13T01:59:23.582Z] The best model improves the baseline by 14.52%. [2026-02-13T01:59:23.927Z] Top recommended movies for user id 72: [2026-02-13T01:59:23.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:59:23.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:59:23.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:59:23.927Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:59:23.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:59:23.927Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (49211.873 ms) ====== [2026-02-13T01:59:23.927Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T01:59:23.927Z] GC before operation: completed in 123.813 ms, heap usage 200.201 MB -> 90.396 MB. [2026-02-13T01:59:31.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:59:40.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:59:47.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:59:54.798Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:59:59.594Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:00:04.432Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:00:09.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:00:13.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:00:13.406Z] 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. [2026-02-13T02:00:13.406Z] The best model improves the baseline by 14.52%. [2026-02-13T02:00:13.759Z] Top recommended movies for user id 72: [2026-02-13T02:00:13.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:00:13.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:00:13.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:00:13.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:00:13.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:00:13.759Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49666.138 ms) ====== [2026-02-13T02:00:13.759Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T02:00:13.759Z] GC before operation: completed in 120.258 ms, heap usage 117.976 MB -> 90.125 MB. [2026-02-13T02:00:21.150Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:00:30.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:00:37.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:00:44.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:00:49.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:00:53.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:00:58.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:01:01.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:01:02.681Z] 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. [2026-02-13T02:01:02.681Z] The best model improves the baseline by 14.52%. [2026-02-13T02:01:02.681Z] Top recommended movies for user id 72: [2026-02-13T02:01:02.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:01:02.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:01:02.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:01:02.681Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:01:02.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:01:02.681Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48943.802 ms) ====== [2026-02-13T02:01:02.681Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T02:01:03.033Z] GC before operation: completed in 118.648 ms, heap usage 268.283 MB -> 90.571 MB. [2026-02-13T02:01:10.384Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:01:17.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:01:26.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:01:33.967Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:01:37.768Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:01:42.578Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:01:46.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:01:51.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:01:51.227Z] 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. [2026-02-13T02:01:51.228Z] The best model improves the baseline by 14.52%. [2026-02-13T02:01:51.583Z] Top recommended movies for user id 72: [2026-02-13T02:01:51.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:01:51.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:01:51.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:01:51.583Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:01:51.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:01:51.583Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48689.950 ms) ====== [2026-02-13T02:01:51.583Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T02:01:51.583Z] GC before operation: completed in 119.566 ms, heap usage 353.335 MB -> 90.552 MB. [2026-02-13T02:01:58.901Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:02:07.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:02:15.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:02:22.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:02:26.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:02:31.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:02:35.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:02:39.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:02:40.090Z] 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. [2026-02-13T02:02:40.090Z] The best model improves the baseline by 14.52%. [2026-02-13T02:02:40.440Z] Top recommended movies for user id 72: [2026-02-13T02:02:40.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:02:40.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:02:40.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:02:40.440Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:02:40.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:02:40.440Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48661.191 ms) ====== [2026-02-13T02:02:40.440Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T02:02:40.440Z] GC before operation: completed in 120.042 ms, heap usage 467.436 MB -> 90.775 MB. [2026-02-13T02:02:47.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:02:55.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:03:04.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:03:10.184Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:03:16.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:03:18.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:03:23.267Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:03:27.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:03:27.833Z] 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. [2026-02-13T02:03:27.833Z] The best model improves the baseline by 14.52%. [2026-02-13T02:03:27.833Z] Top recommended movies for user id 72: [2026-02-13T02:03:27.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:03:27.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:03:27.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:03:27.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:03:27.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:03:27.833Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (47396.671 ms) ====== [2026-02-13T02:03:27.833Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T02:03:27.833Z] GC before operation: completed in 122.279 ms, heap usage 431.308 MB -> 90.595 MB. [2026-02-13T02:03:36.753Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:03:42.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:03:51.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:03:58.926Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:04:02.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:04:06.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:04:12.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:04:16.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:04:16.683Z] 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. [2026-02-13T02:04:16.683Z] The best model improves the baseline by 14.52%. [2026-02-13T02:04:17.028Z] Top recommended movies for user id 72: [2026-02-13T02:04:17.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:04:17.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:04:17.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:04:17.028Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:04:17.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:04:17.028Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48981.985 ms) ====== [2026-02-13T02:04:17.028Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T02:04:17.028Z] GC before operation: completed in 119.576 ms, heap usage 352.716 MB -> 90.622 MB. [2026-02-13T02:04:24.510Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:04:31.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:04:40.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:04:48.077Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:04:52.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:04:56.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:05:01.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:05:05.352Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:05:06.077Z] 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. [2026-02-13T02:05:06.077Z] The best model improves the baseline by 14.52%. [2026-02-13T02:05:06.077Z] Top recommended movies for user id 72: [2026-02-13T02:05:06.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:05:06.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:05:06.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:05:06.077Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:05:06.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:05:06.077Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49069.636 ms) ====== [2026-02-13T02:05:06.426Z] ----------------------------------- [2026-02-13T02:05:06.426Z] renaissance-movie-lens_0_PASSED [2026-02-13T02:05:06.426Z] ----------------------------------- [2026-02-13T02:05:07.137Z] [2026-02-13T02:05:07.137Z] TEST TEARDOWN: [2026-02-13T02:05:07.137Z] Nothing to be done for teardown. [2026-02-13T02:05:07.137Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 02:05:06 2026 Epoch Time (ms): 1770948306966