[2026-04-14T14:37:17.363Z] Running test renaissance-movie-lens_0 ... [2026-04-14T14:37:17.363Z] =============================================== [2026-04-14T14:37:17.363Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 14:37:17 2026 Epoch Time (ms): 1776177437111 [2026-04-14T14:37:17.363Z] variation: NoOptions [2026-04-14T14:37:17.363Z] JVM_OPTIONS: [2026-04-14T14:37:17.363Z] { \ [2026-04-14T14:37:17.363Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T14:37:17.363Z] echo "Nothing to be done for setup."; \ [2026-04-14T14:37:17.363Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761765995271/renaissance-movie-lens_0"; \ [2026-04-14T14:37:17.363Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761765995271/renaissance-movie-lens_0"; \ [2026-04-14T14:37:17.363Z] echo ""; echo "TESTING:"; \ [2026-04-14T14:37:17.363Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761765995271/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T14:37:17.363Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761765995271/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T14:37:17.363Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T14:37:17.363Z] echo "Nothing to be done for teardown."; \ [2026-04-14T14:37:17.363Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761765995271/TestTargetResult"; [2026-04-14T14:37:17.363Z] [2026-04-14T14:37:17.363Z] TEST SETUP: [2026-04-14T14:37:17.363Z] Nothing to be done for setup. [2026-04-14T14:37:17.363Z] [2026-04-14T14:37:17.363Z] TESTING: [2026-04-14T14:37:22.830Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-14T14:37:29.568Z] 14:37:28.889 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-14T14:37:31.999Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T14:37:32.748Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T14:37:32.748Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T14:37:32.748Z] GC before operation: completed in 133.103 ms, heap usage 215.953 MB -> 75.714 MB. [2026-04-14T14:37:40.907Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:37:45.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:37:49.693Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:37:53.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:37:54.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:37:57.045Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:37:58.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:38:00.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:38:00.159Z] 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. [2026-04-14T14:38:00.912Z] The best model improves the baseline by 14.52%. [2026-04-14T14:38:00.912Z] Top recommended movies for user id 72: [2026-04-14T14:38:00.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:38:00.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:38:00.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:38:00.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:38:00.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:38:00.912Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28288.164 ms) ====== [2026-04-14T14:38:00.912Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T14:38:00.912Z] GC before operation: completed in 122.462 ms, heap usage 218.659 MB -> 96.974 MB. [2026-04-14T14:38:04.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:38:07.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:38:10.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:38:12.446Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:38:14.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:38:15.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:38:18.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:38:18.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:38:19.559Z] 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. [2026-04-14T14:38:19.559Z] The best model improves the baseline by 14.52%. [2026-04-14T14:38:19.559Z] Top recommended movies for user id 72: [2026-04-14T14:38:19.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:38:19.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:38:19.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:38:19.559Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:38:19.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:38:19.559Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18588.792 ms) ====== [2026-04-14T14:38:19.559Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T14:38:19.559Z] GC before operation: completed in 116.163 ms, heap usage 220.305 MB -> 92.119 MB. [2026-04-14T14:38:22.109Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:38:25.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:38:27.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:38:30.299Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:38:31.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:38:33.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:38:35.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:38:37.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:38:37.384Z] 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. [2026-04-14T14:38:37.384Z] The best model improves the baseline by 14.52%. [2026-04-14T14:38:37.384Z] Top recommended movies for user id 72: [2026-04-14T14:38:37.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:38:37.384Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:38:37.384Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:38:37.384Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:38:37.384Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:38:37.384Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17788.406 ms) ====== [2026-04-14T14:38:37.384Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T14:38:37.384Z] GC before operation: completed in 108.058 ms, heap usage 468.561 MB -> 91.791 MB. [2026-04-14T14:38:40.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:38:43.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:38:46.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:38:50.893Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:38:53.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:38:55.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:38:58.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:39:00.614Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:39:00.614Z] 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. [2026-04-14T14:39:00.614Z] The best model improves the baseline by 14.52%. [2026-04-14T14:39:01.378Z] Top recommended movies for user id 72: [2026-04-14T14:39:01.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:39:01.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:39:01.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:39:01.378Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:39:01.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:39:01.378Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23632.809 ms) ====== [2026-04-14T14:39:01.378Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T14:39:01.378Z] GC before operation: completed in 184.580 ms, heap usage 287.293 MB -> 93.475 MB. [2026-04-14T14:39:05.759Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:39:10.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:39:14.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:39:18.516Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:39:21.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:39:23.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:39:24.999Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:39:27.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:39:27.432Z] 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. [2026-04-14T14:39:27.432Z] The best model improves the baseline by 14.52%. [2026-04-14T14:39:28.185Z] Top recommended movies for user id 72: [2026-04-14T14:39:28.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:39:28.185Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:39:28.185Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:39:28.185Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:39:28.185Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:39:28.185Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26413.406 ms) ====== [2026-04-14T14:39:28.185Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T14:39:28.185Z] GC before operation: completed in 239.249 ms, heap usage 396.690 MB -> 90.905 MB. [2026-04-14T14:39:32.564Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:39:36.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:39:39.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:39:41.802Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:39:43.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:39:44.911Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:39:46.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:39:48.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:39:48.543Z] 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. [2026-04-14T14:39:48.543Z] The best model improves the baseline by 14.52%. [2026-04-14T14:39:48.543Z] Top recommended movies for user id 72: [2026-04-14T14:39:48.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:39:48.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:39:48.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:39:48.543Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:39:48.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:39:48.543Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20613.938 ms) ====== [2026-04-14T14:39:48.543Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T14:39:48.543Z] GC before operation: completed in 107.932 ms, heap usage 227.944 MB -> 93.459 MB. [2026-04-14T14:39:51.897Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:39:54.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:39:56.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:39:59.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:40:00.700Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:40:02.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:40:03.808Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:40:05.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:40:05.370Z] 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. [2026-04-14T14:40:05.370Z] The best model improves the baseline by 14.52%. [2026-04-14T14:40:05.370Z] Top recommended movies for user id 72: [2026-04-14T14:40:05.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:40:05.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:40:05.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:40:05.370Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:40:05.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:40:05.370Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16631.919 ms) ====== [2026-04-14T14:40:05.370Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T14:40:05.370Z] GC before operation: completed in 114.821 ms, heap usage 296.165 MB -> 89.955 MB. [2026-04-14T14:40:08.722Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:40:10.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:40:13.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:40:15.190Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:40:16.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:40:18.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:40:19.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:40:21.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:40:21.427Z] 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. [2026-04-14T14:40:22.179Z] The best model improves the baseline by 14.52%. [2026-04-14T14:40:22.179Z] Top recommended movies for user id 72: [2026-04-14T14:40:22.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:40:22.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:40:22.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:40:22.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:40:22.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:40:22.179Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16433.239 ms) ====== [2026-04-14T14:40:22.179Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T14:40:22.179Z] GC before operation: completed in 107.237 ms, heap usage 570.207 MB -> 93.899 MB. [2026-04-14T14:40:25.531Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:40:27.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:40:30.371Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:40:32.781Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:40:34.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:40:35.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:40:37.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:40:38.615Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:40:39.367Z] 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. [2026-04-14T14:40:39.367Z] The best model improves the baseline by 14.52%. [2026-04-14T14:40:39.367Z] Top recommended movies for user id 72: [2026-04-14T14:40:39.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:40:39.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:40:39.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:40:39.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:40:39.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:40:39.367Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17323.341 ms) ====== [2026-04-14T14:40:39.367Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T14:40:39.367Z] GC before operation: completed in 127.147 ms, heap usage 574.437 MB -> 93.690 MB. [2026-04-14T14:40:41.786Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:40:44.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:40:47.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:40:49.162Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:40:50.722Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:40:52.278Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:40:53.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:40:55.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:40:55.394Z] 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. [2026-04-14T14:40:55.394Z] The best model improves the baseline by 14.52%. [2026-04-14T14:40:56.144Z] Top recommended movies for user id 72: [2026-04-14T14:40:56.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:40:56.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:40:56.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:40:56.144Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:40:56.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:40:56.144Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16249.538 ms) ====== [2026-04-14T14:40:56.144Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T14:40:56.144Z] GC before operation: completed in 107.088 ms, heap usage 253.100 MB -> 95.799 MB. [2026-04-14T14:40:58.560Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:41:00.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:41:03.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:41:04.955Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:41:06.515Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:41:08.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:41:09.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:41:11.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:41:11.179Z] 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. [2026-04-14T14:41:11.179Z] The best model improves the baseline by 14.52%. [2026-04-14T14:41:11.179Z] Top recommended movies for user id 72: [2026-04-14T14:41:11.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:41:11.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:41:11.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:41:11.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:41:11.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:41:11.179Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15577.921 ms) ====== [2026-04-14T14:41:11.179Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T14:41:11.929Z] GC before operation: completed in 105.752 ms, heap usage 223.409 MB -> 89.778 MB. [2026-04-14T14:41:14.346Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:41:16.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:41:20.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:41:23.024Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:41:23.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:41:25.324Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:41:26.876Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:41:27.629Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:41:28.381Z] 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. [2026-04-14T14:41:28.381Z] The best model improves the baseline by 14.52%. [2026-04-14T14:41:28.381Z] Top recommended movies for user id 72: [2026-04-14T14:41:28.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:41:28.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:41:28.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:41:28.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:41:28.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:41:28.381Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17062.030 ms) ====== [2026-04-14T14:41:28.381Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T14:41:28.381Z] GC before operation: completed in 107.520 ms, heap usage 523.901 MB -> 93.771 MB. [2026-04-14T14:41:31.728Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:41:34.147Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:41:36.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:41:38.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:41:39.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:41:41.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:41:42.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:41:44.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:41:45.146Z] 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. [2026-04-14T14:41:45.146Z] The best model improves the baseline by 14.52%. [2026-04-14T14:41:45.146Z] Top recommended movies for user id 72: [2026-04-14T14:41:45.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:41:45.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:41:45.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:41:45.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:41:45.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:41:45.146Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16202.300 ms) ====== [2026-04-14T14:41:45.146Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T14:41:45.146Z] GC before operation: completed in 106.781 ms, heap usage 133.269 MB -> 93.199 MB. [2026-04-14T14:41:48.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:41:50.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:41:53.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:41:55.770Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:41:56.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:41:58.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:41:59.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:42:01.182Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:42:01.182Z] 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. [2026-04-14T14:42:01.182Z] The best model improves the baseline by 14.52%. [2026-04-14T14:42:01.937Z] Top recommended movies for user id 72: [2026-04-14T14:42:01.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:42:01.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:42:01.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:42:01.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:42:01.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:42:01.937Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16619.307 ms) ====== [2026-04-14T14:42:01.937Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T14:42:01.937Z] GC before operation: completed in 107.015 ms, heap usage 288.450 MB -> 93.514 MB. [2026-04-14T14:42:04.361Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:42:07.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:42:09.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:42:11.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:42:12.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:42:14.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:42:15.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:42:17.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:42:17.483Z] 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. [2026-04-14T14:42:17.483Z] The best model improves the baseline by 14.52%. [2026-04-14T14:42:17.483Z] Top recommended movies for user id 72: [2026-04-14T14:42:17.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:42:17.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:42:17.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:42:17.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:42:17.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:42:17.483Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15684.497 ms) ====== [2026-04-14T14:42:17.484Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T14:42:17.484Z] GC before operation: completed in 104.051 ms, heap usage 202.078 MB -> 90.120 MB. [2026-04-14T14:42:20.842Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:42:23.278Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:42:25.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:42:28.104Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:42:29.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:42:30.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:42:33.792Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:42:35.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:42:35.365Z] 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. [2026-04-14T14:42:35.365Z] The best model improves the baseline by 14.52%. [2026-04-14T14:42:35.365Z] Top recommended movies for user id 72: [2026-04-14T14:42:35.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:42:35.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:42:35.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:42:35.365Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:42:35.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:42:35.365Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17743.363 ms) ====== [2026-04-14T14:42:35.365Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T14:42:35.365Z] GC before operation: completed in 104.805 ms, heap usage 447.204 MB -> 92.565 MB. [2026-04-14T14:42:37.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:42:40.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:42:42.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:42:45.116Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:42:46.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:42:47.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:42:48.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:42:50.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:42:50.772Z] 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. [2026-04-14T14:42:50.772Z] The best model improves the baseline by 14.52%. [2026-04-14T14:42:50.772Z] Top recommended movies for user id 72: [2026-04-14T14:42:50.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:42:50.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:42:50.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:42:50.772Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:42:50.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:42:50.772Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15366.062 ms) ====== [2026-04-14T14:42:50.772Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T14:42:50.772Z] GC before operation: completed in 110.185 ms, heap usage 545.810 MB -> 90.567 MB. [2026-04-14T14:42:53.190Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:42:55.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:42:58.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:43:00.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:43:01.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:43:03.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:43:05.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:43:06.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:43:06.664Z] 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. [2026-04-14T14:43:06.664Z] The best model improves the baseline by 14.52%. [2026-04-14T14:43:06.664Z] Top recommended movies for user id 72: [2026-04-14T14:43:06.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:43:06.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:43:06.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:43:06.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:43:06.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:43:06.664Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15846.775 ms) ====== [2026-04-14T14:43:06.664Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T14:43:06.664Z] GC before operation: completed in 112.520 ms, heap usage 247.434 MB -> 93.071 MB. [2026-04-14T14:43:09.083Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:43:11.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:43:13.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:43:16.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:43:19.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:43:21.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:43:23.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:43:24.563Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:43:25.313Z] 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. [2026-04-14T14:43:25.313Z] The best model improves the baseline by 14.52%. [2026-04-14T14:43:26.063Z] Top recommended movies for user id 72: [2026-04-14T14:43:26.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:43:26.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:43:26.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:43:26.063Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:43:26.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:43:26.063Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18893.412 ms) ====== [2026-04-14T14:43:26.063Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T14:43:26.063Z] GC before operation: completed in 104.997 ms, heap usage 166.111 MB -> 92.210 MB. [2026-04-14T14:43:30.437Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T14:43:32.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T14:43:35.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T14:43:38.221Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T14:43:39.771Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T14:43:41.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T14:43:42.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T14:43:44.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T14:43:44.442Z] 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. [2026-04-14T14:43:44.442Z] The best model improves the baseline by 14.52%. [2026-04-14T14:43:44.442Z] Top recommended movies for user id 72: [2026-04-14T14:43:44.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T14:43:44.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T14:43:44.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T14:43:44.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T14:43:44.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T14:43:44.442Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18692.728 ms) ====== [2026-04-14T14:43:45.189Z] ----------------------------------- [2026-04-14T14:43:45.189Z] renaissance-movie-lens_0_PASSED [2026-04-14T14:43:45.189Z] ----------------------------------- [2026-04-14T14:43:45.189Z] [2026-04-14T14:43:45.189Z] TEST TEARDOWN: [2026-04-14T14:43:45.189Z] Nothing to be done for teardown. [2026-04-14T14:43:45.189Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 14:43:45 2026 Epoch Time (ms): 1776177825070