[2026-02-18T22:16:43.997Z] Running test renaissance-movie-lens_0 ... [2026-02-18T22:16:43.997Z] =============================================== [2026-02-18T22:16:43.997Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 22:16:43 2026 Epoch Time (ms): 1771453003885 [2026-02-18T22:16:43.997Z] variation: NoOptions [2026-02-18T22:16:43.997Z] JVM_OPTIONS: [2026-02-18T22:16:43.997Z] { \ [2026-02-18T22:16:43.997Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T22:16:43.997Z] echo "Nothing to be done for setup."; \ [2026-02-18T22:16:43.997Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714521596665/renaissance-movie-lens_0"; \ [2026-02-18T22:16:43.997Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714521596665/renaissance-movie-lens_0"; \ [2026-02-18T22:16:43.997Z] echo ""; echo "TESTING:"; \ [2026-02-18T22:16:43.997Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_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_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714521596665/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T22:16:43.997Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714521596665/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T22:16:43.997Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T22:16:43.997Z] echo "Nothing to be done for teardown."; \ [2026-02-18T22:16:43.997Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17714521596665/TestTargetResult"; [2026-02-18T22:16:43.997Z] [2026-02-18T22:16:43.997Z] TEST SETUP: [2026-02-18T22:16:43.997Z] Nothing to be done for setup. [2026-02-18T22:16:43.997Z] [2026-02-18T22:16:43.997Z] TESTING: [2026-02-18T22:16:49.418Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T22:16:56.181Z] 22:16:54.932 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-18T22:16:57.145Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T22:16:58.103Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T22:16:58.103Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T22:16:58.103Z] GC before operation: completed in 144.163 ms, heap usage 224.980 MB -> 75.794 MB. [2026-02-18T22:17:03.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:17:06.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:17:09.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:17:12.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:17:13.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:17:15.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:17:17.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:17:18.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:17:19.199Z] 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. [2026-02-18T22:17:19.199Z] The best model improves the baseline by 14.52%. [2026-02-18T22:17:19.199Z] Top recommended movies for user id 72: [2026-02-18T22:17:19.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:17:19.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:17:19.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:17:19.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:17:19.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:17:19.199Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20995.587 ms) ====== [2026-02-18T22:17:19.199Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T22:17:19.199Z] GC before operation: completed in 157.369 ms, heap usage 512.776 MB -> 91.402 MB. [2026-02-18T22:17:22.238Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:17:24.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:17:27.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:17:29.224Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:17:31.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:17:32.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:17:34.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:17:35.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:17:35.104Z] 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. [2026-02-18T22:17:35.104Z] The best model improves the baseline by 14.52%. [2026-02-18T22:17:36.061Z] Top recommended movies for user id 72: [2026-02-18T22:17:36.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:17:36.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:17:36.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:17:36.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:17:36.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:17:36.061Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16365.920 ms) ====== [2026-02-18T22:17:36.061Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T22:17:36.061Z] GC before operation: completed in 120.971 ms, heap usage 213.463 MB -> 88.602 MB. [2026-02-18T22:17:38.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:17:40.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:17:43.214Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:17:45.185Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:17:46.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:17:47.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:17:49.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:17:50.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:17:50.986Z] 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. [2026-02-18T22:17:50.986Z] The best model improves the baseline by 14.52%. [2026-02-18T22:17:50.986Z] Top recommended movies for user id 72: [2026-02-18T22:17:50.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:17:50.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:17:50.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:17:50.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:17:50.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:17:50.986Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14905.856 ms) ====== [2026-02-18T22:17:50.986Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T22:17:50.986Z] GC before operation: completed in 123.826 ms, heap usage 107.416 MB -> 89.046 MB. [2026-02-18T22:17:52.962Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:17:56.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:17:57.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:17:59.975Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:18:01.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:18:04.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:18:04.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:18:06.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:18:06.701Z] 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. [2026-02-18T22:18:06.701Z] The best model improves the baseline by 14.52%. [2026-02-18T22:18:06.701Z] Top recommended movies for user id 72: [2026-02-18T22:18:06.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:18:06.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:18:06.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:18:06.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:18:06.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:18:06.701Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16163.693 ms) ====== [2026-02-18T22:18:06.701Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T22:18:06.701Z] GC before operation: completed in 112.039 ms, heap usage 120.395 MB -> 89.524 MB. [2026-02-18T22:18:09.738Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:18:11.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:18:14.777Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:18:16.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:18:18.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:18:19.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:18:21.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:18:22.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:18:23.587Z] 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. [2026-02-18T22:18:23.587Z] The best model improves the baseline by 14.52%. [2026-02-18T22:18:23.587Z] Top recommended movies for user id 72: [2026-02-18T22:18:23.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:18:23.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:18:23.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:18:23.587Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:18:23.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:18:23.587Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16457.031 ms) ====== [2026-02-18T22:18:23.587Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T22:18:23.587Z] GC before operation: completed in 125.360 ms, heap usage 361.586 MB -> 89.789 MB. [2026-02-18T22:18:26.648Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:18:28.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:18:30.591Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:18:33.716Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:18:34.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:18:35.790Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:18:37.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:18:38.716Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:18:38.716Z] 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. [2026-02-18T22:18:38.716Z] The best model improves the baseline by 14.52%. [2026-02-18T22:18:39.674Z] Top recommended movies for user id 72: [2026-02-18T22:18:39.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:18:39.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:18:39.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:18:39.674Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:18:39.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:18:39.674Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15637.821 ms) ====== [2026-02-18T22:18:39.674Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T22:18:39.674Z] GC before operation: completed in 119.795 ms, heap usage 204.060 MB -> 89.853 MB. [2026-02-18T22:18:41.648Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:18:43.614Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:18:46.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:18:48.644Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:18:49.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:18:51.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:18:52.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:18:54.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:18:54.544Z] 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. [2026-02-18T22:18:54.544Z] The best model improves the baseline by 14.52%. [2026-02-18T22:18:54.544Z] Top recommended movies for user id 72: [2026-02-18T22:18:54.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:18:54.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:18:54.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:18:54.544Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:18:54.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:18:54.544Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15049.251 ms) ====== [2026-02-18T22:18:54.544Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T22:18:54.544Z] GC before operation: completed in 131.944 ms, heap usage 483.802 MB -> 90.269 MB. [2026-02-18T22:18:56.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:18:59.542Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:19:01.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:19:03.284Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:19:05.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:19:06.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:19:08.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:19:09.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:19:09.161Z] 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. [2026-02-18T22:19:09.161Z] The best model improves the baseline by 14.52%. [2026-02-18T22:19:10.118Z] Top recommended movies for user id 72: [2026-02-18T22:19:10.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:19:10.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:19:10.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:19:10.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:19:10.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:19:10.118Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15003.088 ms) ====== [2026-02-18T22:19:10.118Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T22:19:10.118Z] GC before operation: completed in 121.820 ms, heap usage 460.574 MB -> 90.406 MB. [2026-02-18T22:19:12.084Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:19:14.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:19:17.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:19:19.063Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:19:20.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:19:21.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:19:22.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:19:24.913Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:19:24.913Z] 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. [2026-02-18T22:19:24.913Z] The best model improves the baseline by 14.52%. [2026-02-18T22:19:24.913Z] Top recommended movies for user id 72: [2026-02-18T22:19:24.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:19:24.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:19:24.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:19:24.913Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:19:24.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:19:24.913Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15157.633 ms) ====== [2026-02-18T22:19:24.913Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T22:19:24.913Z] GC before operation: completed in 117.878 ms, heap usage 151.410 MB -> 89.792 MB. [2026-02-18T22:19:26.880Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:19:29.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:19:31.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:19:33.862Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:19:35.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:19:36.899Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:19:37.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:19:39.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:19:39.823Z] 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. [2026-02-18T22:19:39.823Z] The best model improves the baseline by 14.52%. [2026-02-18T22:19:39.823Z] Top recommended movies for user id 72: [2026-02-18T22:19:39.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:19:39.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:19:39.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:19:39.823Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:19:39.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:19:39.823Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14867.599 ms) ====== [2026-02-18T22:19:39.823Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T22:19:39.823Z] GC before operation: completed in 130.099 ms, heap usage 290.848 MB -> 90.272 MB. [2026-02-18T22:19:42.858Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:19:44.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:19:46.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:19:48.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:19:49.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:19:51.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:19:52.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:19:53.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:19:54.561Z] 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. [2026-02-18T22:19:54.561Z] The best model improves the baseline by 14.52%. [2026-02-18T22:19:54.561Z] Top recommended movies for user id 72: [2026-02-18T22:19:54.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:19:54.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:19:54.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:19:54.561Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:19:54.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:19:54.561Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14189.329 ms) ====== [2026-02-18T22:19:54.561Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T22:19:54.561Z] GC before operation: completed in 108.579 ms, heap usage 354.639 MB -> 90.066 MB. [2026-02-18T22:19:57.659Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:19:58.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:20:00.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:20:02.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:20:03.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:20:04.697Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:20:06.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:20:07.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:20:07.623Z] 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. [2026-02-18T22:20:07.623Z] The best model improves the baseline by 14.52%. [2026-02-18T22:20:07.623Z] Top recommended movies for user id 72: [2026-02-18T22:20:07.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:20:07.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:20:07.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:20:07.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:20:07.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:20:07.623Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13633.628 ms) ====== [2026-02-18T22:20:07.623Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T22:20:08.581Z] GC before operation: completed in 117.378 ms, heap usage 282.163 MB -> 90.226 MB. [2026-02-18T22:20:10.547Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:20:12.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:20:14.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:20:16.480Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:20:17.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:20:19.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:20:20.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:20:22.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:20:22.328Z] 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. [2026-02-18T22:20:22.328Z] The best model improves the baseline by 14.52%. [2026-02-18T22:20:22.328Z] Top recommended movies for user id 72: [2026-02-18T22:20:22.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:20:22.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:20:22.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:20:22.328Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:20:22.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:20:22.328Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14382.978 ms) ====== [2026-02-18T22:20:22.328Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T22:20:22.328Z] GC before operation: completed in 111.740 ms, heap usage 218.017 MB -> 90.129 MB. [2026-02-18T22:20:25.376Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:20:27.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:20:29.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:20:31.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:20:33.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:20:34.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:20:36.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:20:37.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:20:38.167Z] 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. [2026-02-18T22:20:38.167Z] The best model improves the baseline by 14.52%. [2026-02-18T22:20:38.167Z] Top recommended movies for user id 72: [2026-02-18T22:20:38.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:20:38.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:20:38.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:20:38.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:20:38.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:20:38.167Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15369.083 ms) ====== [2026-02-18T22:20:38.167Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T22:20:38.167Z] GC before operation: completed in 113.926 ms, heap usage 506.109 MB -> 90.423 MB. [2026-02-18T22:20:40.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:20:42.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:20:45.146Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:20:47.158Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:20:48.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:20:50.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:20:51.058Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:20:52.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:20:53.196Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:20:53.196Z] The best model improves the baseline by 14.52%. [2026-02-18T22:20:53.196Z] Top recommended movies for user id 72: [2026-02-18T22:20:53.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:20:53.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:20:53.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:20:53.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:20:53.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:20:53.196Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14611.130 ms) ====== [2026-02-18T22:20:53.196Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T22:20:53.196Z] GC before operation: completed in 115.807 ms, heap usage 156.133 MB -> 90.214 MB. [2026-02-18T22:20:55.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:20:57.082Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:21:00.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:21:02.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:21:03.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:21:04.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:21:05.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:21:06.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:21:07.909Z] 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. [2026-02-18T22:21:07.909Z] The best model improves the baseline by 14.52%. [2026-02-18T22:21:07.910Z] Top recommended movies for user id 72: [2026-02-18T22:21:07.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:21:07.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:21:07.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:21:07.910Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:21:07.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:21:07.910Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14932.890 ms) ====== [2026-02-18T22:21:07.910Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T22:21:07.910Z] GC before operation: completed in 108.491 ms, heap usage 153.060 MB -> 89.928 MB. [2026-02-18T22:21:09.877Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:21:11.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:21:14.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:21:16.845Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:21:17.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:21:19.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:21:20.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:21:22.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:21:22.738Z] 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. [2026-02-18T22:21:22.738Z] The best model improves the baseline by 14.52%. [2026-02-18T22:21:22.738Z] Top recommended movies for user id 72: [2026-02-18T22:21:22.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:21:22.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:21:22.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:21:22.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:21:22.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:21:22.738Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14881.151 ms) ====== [2026-02-18T22:21:22.738Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T22:21:22.738Z] GC before operation: completed in 105.526 ms, heap usage 360.289 MB -> 90.352 MB. [2026-02-18T22:21:24.709Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:21:26.695Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:21:28.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:21:31.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:21:32.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:21:33.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:21:35.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:21:36.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:21:36.558Z] 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. [2026-02-18T22:21:36.558Z] The best model improves the baseline by 14.52%. [2026-02-18T22:21:37.523Z] Top recommended movies for user id 72: [2026-02-18T22:21:37.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:21:37.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:21:37.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:21:37.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:21:37.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:21:37.523Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14227.646 ms) ====== [2026-02-18T22:21:37.523Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T22:21:37.523Z] GC before operation: completed in 152.034 ms, heap usage 347.170 MB -> 90.149 MB. [2026-02-18T22:21:39.489Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:21:41.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:21:44.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:21:46.498Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:21:47.465Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:21:49.440Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:21:51.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:21:52.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:21:52.428Z] 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. [2026-02-18T22:21:52.428Z] The best model improves the baseline by 14.52%. [2026-02-18T22:21:52.428Z] Top recommended movies for user id 72: [2026-02-18T22:21:52.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:21:52.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:21:52.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:21:52.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:21:52.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:21:52.428Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15329.238 ms) ====== [2026-02-18T22:21:52.428Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T22:21:52.428Z] GC before operation: completed in 128.765 ms, heap usage 285.645 MB -> 90.230 MB. [2026-02-18T22:21:55.464Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:21:57.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:21:59.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:22:01.407Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:22:03.388Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:22:04.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:22:05.313Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:22:07.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:22:07.281Z] 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. [2026-02-18T22:22:07.281Z] The best model improves the baseline by 14.52%. [2026-02-18T22:22:07.281Z] Top recommended movies for user id 72: [2026-02-18T22:22:07.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:22:07.281Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:22:07.281Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:22:07.281Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:22:07.281Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:22:07.281Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14610.719 ms) ====== [2026-02-18T22:22:08.247Z] ----------------------------------- [2026-02-18T22:22:08.247Z] renaissance-movie-lens_0_PASSED [2026-02-18T22:22:08.247Z] ----------------------------------- [2026-02-18T22:22:08.247Z] [2026-02-18T22:22:08.247Z] TEST TEARDOWN: [2026-02-18T22:22:08.247Z] Nothing to be done for teardown. [2026-02-18T22:22:08.247Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:22:07 2026 Epoch Time (ms): 1771453327304