[2026-02-19T01:55:38.799Z] Running test renaissance-movie-lens_0 ... [2026-02-19T01:55:38.799Z] =============================================== [2026-02-19T01:55:38.799Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 01:55:38 2026 Epoch Time (ms): 1771466138410 [2026-02-19T01:55:38.799Z] variation: NoOptions [2026-02-19T01:55:38.799Z] JVM_OPTIONS: [2026-02-19T01:55:38.799Z] { \ [2026-02-19T01:55:38.799Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T01:55:38.800Z] echo "Nothing to be done for setup."; \ [2026-02-19T01:55:38.800Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17714652556249/renaissance-movie-lens_0"; \ [2026-02-19T01:55:38.800Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17714652556249/renaissance-movie-lens_0"; \ [2026-02-19T01:55:38.800Z] echo ""; echo "TESTING:"; \ [2026-02-19T01:55:38.800Z] "/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_17714652556249/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T01:55:38.800Z] 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_17714652556249/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T01:55:38.800Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T01:55:38.800Z] echo "Nothing to be done for teardown."; \ [2026-02-19T01:55:38.800Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17714652556249/TestTargetResult"; [2026-02-19T01:55:38.800Z] [2026-02-19T01:55:38.800Z] TEST SETUP: [2026-02-19T01:55:38.800Z] Nothing to be done for setup. [2026-02-19T01:55:38.800Z] [2026-02-19T01:55:38.800Z] TESTING: [2026-02-19T01:55:48.328Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-19T01:55:54.823Z] 01:55:54.739 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. [2026-02-19T01:55:58.170Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T01:55:58.170Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T01:55:58.170Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T01:55:58.885Z] GC before operation: completed in 140.791 ms, heap usage 144.404 MB -> 75.619 MB. [2026-02-19T01:56:05.411Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:56:09.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:56:13.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:56:17.083Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:56:18.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:56:20.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:56:22.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:56:23.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:56:24.634Z] 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. [2026-02-19T01:56:24.634Z] The best model improves the baseline by 14.52%. [2026-02-19T01:56:24.634Z] Top recommended movies for user id 72: [2026-02-19T01:56:24.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:56:24.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:56:24.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:56:24.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:56:24.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:56:24.634Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26080.120 ms) ====== [2026-02-19T01:56:24.634Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T01:56:24.634Z] GC before operation: completed in 140.610 ms, heap usage 432.113 MB -> 91.687 MB. [2026-02-19T01:56:28.309Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:56:30.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:56:33.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:56:37.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:56:38.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:56:40.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:56:41.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:56:43.071Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:56:43.792Z] 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. [2026-02-19T01:56:43.792Z] The best model improves the baseline by 14.52%. [2026-02-19T01:56:43.792Z] Top recommended movies for user id 72: [2026-02-19T01:56:43.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:56:43.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:56:43.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:56:43.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:56:43.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:56:43.792Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18880.789 ms) ====== [2026-02-19T01:56:43.792Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T01:56:43.792Z] GC before operation: completed in 117.667 ms, heap usage 440.742 MB -> 88.753 MB. [2026-02-19T01:56:47.036Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:56:49.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:56:51.675Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:56:53.993Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:56:55.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:56:56.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:56:59.297Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:57:00.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:57:00.864Z] 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. [2026-02-19T01:57:00.864Z] The best model improves the baseline by 14.52%. [2026-02-19T01:57:00.864Z] Top recommended movies for user id 72: [2026-02-19T01:57:00.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:57:00.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:57:00.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:57:00.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:57:00.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:57:00.864Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17119.751 ms) ====== [2026-02-19T01:57:00.864Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T01:57:02.093Z] GC before operation: completed in 114.467 ms, heap usage 194.897 MB -> 89.124 MB. [2026-02-19T01:57:03.597Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:57:19.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:57:21.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:57:24.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:57:25.646Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:57:27.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:57:29.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:57:30.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:57:30.892Z] 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. [2026-02-19T01:57:30.892Z] The best model improves the baseline by 14.52%. [2026-02-19T01:57:30.892Z] Top recommended movies for user id 72: [2026-02-19T01:57:30.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:57:30.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:57:30.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:57:30.892Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:57:30.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:57:30.892Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29718.265 ms) ====== [2026-02-19T01:57:30.892Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T01:57:30.892Z] GC before operation: completed in 109.611 ms, heap usage 495.948 MB -> 89.819 MB. [2026-02-19T01:57:33.263Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:57:35.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:57:38.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:57:40.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:57:41.817Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:57:43.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:57:45.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:57:46.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:57:47.066Z] 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. [2026-02-19T01:57:47.066Z] The best model improves the baseline by 14.52%. [2026-02-19T01:57:47.066Z] Top recommended movies for user id 72: [2026-02-19T01:57:47.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:57:47.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:57:47.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:57:47.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:57:47.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:57:47.066Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16069.890 ms) ====== [2026-02-19T01:57:47.066Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T01:57:47.066Z] GC before operation: completed in 131.552 ms, heap usage 491.337 MB -> 89.686 MB. [2026-02-19T01:57:49.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:57:51.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:57:54.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:57:56.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:57:58.058Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:57:59.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:58:01.047Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:58:02.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:58:02.538Z] 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. [2026-02-19T01:58:02.538Z] The best model improves the baseline by 14.52%. [2026-02-19T01:58:02.538Z] Top recommended movies for user id 72: [2026-02-19T01:58:02.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:58:02.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:58:02.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:58:02.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:58:02.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:58:02.538Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15682.093 ms) ====== [2026-02-19T01:58:02.538Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T01:58:02.538Z] GC before operation: completed in 102.041 ms, heap usage 285.636 MB -> 89.845 MB. [2026-02-19T01:58:05.760Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:58:08.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:58:11.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:58:13.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:58:15.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:58:15.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:58:17.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:58:18.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:58:18.800Z] 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. [2026-02-19T01:58:18.800Z] The best model improves the baseline by 14.52%. [2026-02-19T01:58:19.518Z] Top recommended movies for user id 72: [2026-02-19T01:58:19.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:58:19.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:58:19.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:58:19.518Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:58:19.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:58:19.518Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16340.915 ms) ====== [2026-02-19T01:58:19.518Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T01:58:19.518Z] GC before operation: completed in 107.840 ms, heap usage 259.503 MB -> 89.734 MB. [2026-02-19T01:58:21.829Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:58:24.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:58:26.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:58:28.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:58:30.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:58:30.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:58:32.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:58:33.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:58:34.705Z] 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. [2026-02-19T01:58:34.705Z] The best model improves the baseline by 14.52%. [2026-02-19T01:58:34.705Z] Top recommended movies for user id 72: [2026-02-19T01:58:34.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:58:34.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:58:34.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:58:34.706Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:58:34.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:58:34.706Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15289.178 ms) ====== [2026-02-19T01:58:34.706Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T01:58:34.706Z] GC before operation: completed in 105.676 ms, heap usage 270.026 MB -> 89.928 MB. [2026-02-19T01:58:37.024Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:58:39.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:58:41.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:58:44.142Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:58:45.625Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:58:47.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:58:48.603Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:58:50.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:58:50.099Z] 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. [2026-02-19T01:58:50.099Z] The best model improves the baseline by 14.52%. [2026-02-19T01:58:50.099Z] Top recommended movies for user id 72: [2026-02-19T01:58:50.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:58:50.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:58:50.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:58:50.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:58:50.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:58:50.099Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15399.990 ms) ====== [2026-02-19T01:58:50.099Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T01:58:50.099Z] GC before operation: completed in 109.847 ms, heap usage 598.698 MB -> 93.580 MB. [2026-02-19T01:58:52.405Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:58:54.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:58:57.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:58:59.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:59:00.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:59:02.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:59:03.936Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:59:05.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:59:05.427Z] 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. [2026-02-19T01:59:05.427Z] The best model improves the baseline by 14.52%. [2026-02-19T01:59:05.427Z] Top recommended movies for user id 72: [2026-02-19T01:59:05.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:59:05.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:59:05.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:59:05.427Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:59:05.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:59:05.427Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15233.001 ms) ====== [2026-02-19T01:59:05.427Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T01:59:05.427Z] GC before operation: completed in 105.389 ms, heap usage 208.140 MB -> 93.308 MB. [2026-02-19T01:59:07.746Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:59:10.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:59:13.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:59:15.598Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:59:17.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:59:19.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:59:19.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:59:21.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:59:21.267Z] 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. [2026-02-19T01:59:21.267Z] The best model improves the baseline by 14.52%. [2026-02-19T01:59:21.984Z] Top recommended movies for user id 72: [2026-02-19T01:59:21.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:59:21.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:59:21.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:59:21.984Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:59:21.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:59:21.984Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16044.457 ms) ====== [2026-02-19T01:59:21.984Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T01:59:21.984Z] GC before operation: completed in 105.490 ms, heap usage 283.655 MB -> 93.323 MB. [2026-02-19T01:59:24.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:59:26.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:59:29.838Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:59:32.159Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:59:33.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:59:35.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:59:36.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:59:38.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:59:38.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-19T01:59:38.105Z] The best model improves the baseline by 14.52%. [2026-02-19T01:59:38.105Z] Top recommended movies for user id 72: [2026-02-19T01:59:38.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:59:38.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:59:38.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:59:38.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:59:38.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:59:38.105Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16591.070 ms) ====== [2026-02-19T01:59:38.105Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T01:59:38.105Z] GC before operation: completed in 111.880 ms, heap usage 153.398 MB -> 92.036 MB. [2026-02-19T01:59:41.342Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:59:43.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:59:46.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:59:49.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:59:50.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:59:52.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:59:53.732Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:59:55.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:59:55.946Z] 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. [2026-02-19T01:59:55.946Z] The best model improves the baseline by 14.52%. [2026-02-19T01:59:55.946Z] Top recommended movies for user id 72: [2026-02-19T01:59:55.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T01:59:55.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T01:59:55.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T01:59:55.946Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T01:59:55.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T01:59:55.946Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17314.504 ms) ====== [2026-02-19T01:59:55.946Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T01:59:55.946Z] GC before operation: completed in 108.248 ms, heap usage 652.075 MB -> 93.847 MB. [2026-02-19T01:59:58.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:00:01.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:00:03.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:00:05.741Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:00:08.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:00:08.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:00:11.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:00:12.632Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:00:12.632Z] 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. [2026-02-19T02:00:12.632Z] The best model improves the baseline by 14.52%. [2026-02-19T02:00:12.632Z] Top recommended movies for user id 72: [2026-02-19T02:00:12.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T02:00:12.632Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T02:00:12.632Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T02:00:12.632Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T02:00:12.632Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T02:00:12.632Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16749.197 ms) ====== [2026-02-19T02:00:12.632Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T02:00:12.632Z] GC before operation: completed in 110.547 ms, heap usage 699.682 MB -> 93.725 MB. [2026-02-19T02:00:15.849Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:00:18.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:00:22.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:00:23.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:00:24.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:00:26.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:00:27.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:00:28.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:00:29.174Z] 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. [2026-02-19T02:00:29.174Z] The best model improves the baseline by 14.52%. [2026-02-19T02:00:29.174Z] Top recommended movies for user id 72: [2026-02-19T02:00:29.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T02:00:29.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T02:00:29.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T02:00:29.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T02:00:29.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T02:00:29.174Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16363.225 ms) ====== [2026-02-19T02:00:29.174Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T02:00:29.174Z] GC before operation: completed in 112.525 ms, heap usage 485.919 MB -> 92.929 MB. [2026-02-19T02:00:31.485Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:00:33.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:00:37.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:00:38.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:00:40.006Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:00:41.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:00:43.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:00:44.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:00:44.555Z] 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. [2026-02-19T02:00:44.555Z] The best model improves the baseline by 14.52%. [2026-02-19T02:00:45.319Z] Top recommended movies for user id 72: [2026-02-19T02:00:45.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T02:00:45.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T02:00:45.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T02:00:45.319Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T02:00:45.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T02:00:45.319Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15818.430 ms) ====== [2026-02-19T02:00:45.319Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T02:00:45.319Z] GC before operation: completed in 112.348 ms, heap usage 261.530 MB -> 89.953 MB. [2026-02-19T02:00:47.268Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:00:49.584Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:00:51.894Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:00:54.219Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:00:55.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:00:57.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:00:58.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:01:00.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:01:00.356Z] 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. [2026-02-19T02:01:00.356Z] The best model improves the baseline by 14.52%. [2026-02-19T02:01:00.356Z] Top recommended movies for user id 72: [2026-02-19T02:01:00.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T02:01:00.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T02:01:00.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T02:01:00.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T02:01:00.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T02:01:00.356Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15517.259 ms) ====== [2026-02-19T02:01:00.356Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T02:01:01.070Z] GC before operation: completed in 114.371 ms, heap usage 285.980 MB -> 90.192 MB. [2026-02-19T02:01:03.397Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:01:05.716Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:01:08.041Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:01:10.356Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:01:11.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:01:13.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:01:14.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:01:16.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:01:16.384Z] 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. [2026-02-19T02:01:16.384Z] The best model improves the baseline by 14.52%. [2026-02-19T02:01:17.100Z] Top recommended movies for user id 72: [2026-02-19T02:01:17.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T02:01:17.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T02:01:17.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T02:01:17.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T02:01:17.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T02:01:17.100Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15998.899 ms) ====== [2026-02-19T02:01:17.100Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T02:01:17.100Z] GC before operation: completed in 113.996 ms, heap usage 368.986 MB -> 90.040 MB. [2026-02-19T02:01:19.420Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:01:21.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:01:24.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:01:26.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:01:27.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:01:29.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:01:30.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:01:32.342Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:01:32.342Z] 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. [2026-02-19T02:01:32.342Z] The best model improves the baseline by 14.52%. [2026-02-19T02:01:32.342Z] Top recommended movies for user id 72: [2026-02-19T02:01:32.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T02:01:32.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T02:01:32.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T02:01:32.342Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T02:01:32.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T02:01:32.342Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15510.522 ms) ====== [2026-02-19T02:01:32.342Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-19T02:01:32.342Z] GC before operation: completed in 118.160 ms, heap usage 676.631 MB -> 93.880 MB. [2026-02-19T02:01:35.119Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:01:37.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:01:39.754Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:01:42.160Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:01:43.648Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:01:45.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:01:46.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:01:48.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:01:48.112Z] 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. [2026-02-19T02:01:48.112Z] The best model improves the baseline by 14.52%. [2026-02-19T02:01:48.112Z] Top recommended movies for user id 72: [2026-02-19T02:01:48.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T02:01:48.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T02:01:48.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T02:01:48.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T02:01:48.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T02:01:48.112Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15606.660 ms) ====== [2026-02-19T02:01:48.827Z] ----------------------------------- [2026-02-19T02:01:48.827Z] renaissance-movie-lens_0_PASSED [2026-02-19T02:01:48.827Z] ----------------------------------- [2026-02-19T02:01:48.827Z] [2026-02-19T02:01:48.827Z] TEST TEARDOWN: [2026-02-19T02:01:48.827Z] Nothing to be done for teardown. [2026-02-19T02:01:48.827Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 02:01:48 2026 Epoch Time (ms): 1771466508194