[2026-04-22T15:54:26.597Z] Running test renaissance-movie-lens_0 ... [2026-04-22T15:54:26.597Z] =============================================== [2026-04-22T15:54:26.597Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 15:54:26 2026 Epoch Time (ms): 1776873266063 [2026-04-22T15:54:26.597Z] variation: NoOptions [2026-04-22T15:54:26.597Z] JVM_OPTIONS: [2026-04-22T15:54:26.597Z] { \ [2026-04-22T15:54:26.598Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T15:54:26.598Z] echo "Nothing to be done for setup."; \ [2026-04-22T15:54:26.598Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768718878509/renaissance-movie-lens_0"; \ [2026-04-22T15:54:26.598Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768718878509/renaissance-movie-lens_0"; \ [2026-04-22T15:54:26.598Z] echo ""; echo "TESTING:"; \ [2026-04-22T15:54:26.598Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768718878509/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T15:54:26.598Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768718878509/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T15:54:26.598Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T15:54:26.598Z] echo "Nothing to be done for teardown."; \ [2026-04-22T15:54:26.598Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768718878509/TestTargetResult"; [2026-04-22T15:54:26.598Z] [2026-04-22T15:54:26.598Z] TEST SETUP: [2026-04-22T15:54:26.598Z] Nothing to be done for setup. [2026-04-22T15:54:26.598Z] [2026-04-22T15:54:26.598Z] TESTING: [2026-04-22T15:54:36.383Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T15:54:52.948Z] 15:54:51.108 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. [2026-04-22T15:54:57.357Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T15:54:58.121Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T15:54:58.121Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T15:54:58.121Z] GC before operation: completed in 316.744 ms, heap usage 147.023 MB -> 75.870 MB. [2026-04-22T15:55:14.231Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:55:22.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:55:30.655Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:55:37.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:55:41.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:55:46.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:55:50.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:55:54.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:55:54.841Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:55:55.601Z] The best model improves the baseline by 14.52%. [2026-04-22T15:55:55.602Z] Top recommended movies for user id 72: [2026-04-22T15:55:55.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:55:55.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:55:55.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:55:55.602Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:55:55.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:55:55.602Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57625.771 ms) ====== [2026-04-22T15:55:55.602Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T15:55:56.361Z] GC before operation: completed in 249.127 ms, heap usage 394.581 MB -> 91.269 MB. [2026-04-22T15:56:03.136Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:56:09.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:56:16.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:56:22.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:56:26.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:56:30.861Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:56:34.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:56:37.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:56:37.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:56:37.604Z] The best model improves the baseline by 14.52%. [2026-04-22T15:56:38.362Z] Top recommended movies for user id 72: [2026-04-22T15:56:38.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:56:38.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:56:38.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:56:38.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:56:38.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:56:38.362Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (42226.200 ms) ====== [2026-04-22T15:56:38.362Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T15:56:38.363Z] GC before operation: completed in 247.542 ms, heap usage 280.251 MB -> 88.785 MB. [2026-04-22T15:56:43.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:56:50.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:56:57.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:57:03.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:57:06.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:57:09.791Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:57:14.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:57:17.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:57:18.364Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:57:18.364Z] The best model improves the baseline by 14.52%. [2026-04-22T15:57:18.364Z] Top recommended movies for user id 72: [2026-04-22T15:57:18.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:57:18.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:57:18.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:57:18.364Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:57:18.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:57:18.365Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39980.075 ms) ====== [2026-04-22T15:57:18.365Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T15:57:18.365Z] GC before operation: completed in 223.944 ms, heap usage 452.706 MB -> 89.595 MB. [2026-04-22T15:57:25.151Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:57:29.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:57:36.367Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:57:41.896Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:57:45.293Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:57:48.674Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:57:52.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:57:56.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:57:56.391Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:57:56.391Z] The best model improves the baseline by 14.52%. [2026-04-22T15:57:57.133Z] Top recommended movies for user id 72: [2026-04-22T15:57:57.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:57:57.133Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:57:57.133Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:57:57.133Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:57:57.133Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:57:57.133Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (38331.934 ms) ====== [2026-04-22T15:57:57.133Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T15:57:57.133Z] GC before operation: completed in 274.220 ms, heap usage 427.137 MB -> 89.822 MB. [2026-04-22T15:58:06.143Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:58:09.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:58:15.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:58:19.732Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:58:23.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:58:26.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:58:29.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:58:32.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:58:33.652Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:58:33.652Z] The best model improves the baseline by 14.52%. [2026-04-22T15:58:34.388Z] Top recommended movies for user id 72: [2026-04-22T15:58:34.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:58:34.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:58:34.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:58:34.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:58:34.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:58:34.389Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (36841.521 ms) ====== [2026-04-22T15:58:34.389Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T15:58:34.389Z] GC before operation: completed in 287.880 ms, heap usage 177.181 MB -> 89.402 MB. [2026-04-22T15:58:39.795Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:58:45.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:58:50.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:58:56.025Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:58:59.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:59:02.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:59:05.972Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:59:09.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:59:09.264Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:59:09.264Z] The best model improves the baseline by 14.52%. [2026-04-22T15:59:10.004Z] Top recommended movies for user id 72: [2026-04-22T15:59:10.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:59:10.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:59:10.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:59:10.004Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:59:10.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:59:10.004Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35513.809 ms) ====== [2026-04-22T15:59:10.004Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T15:59:10.004Z] GC before operation: completed in 282.180 ms, heap usage 417.277 MB -> 90.080 MB. [2026-04-22T15:59:15.462Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:59:20.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:59:26.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:59:31.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:59:34.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:59:37.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:59:41.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:59:44.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:59:44.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:59:44.955Z] The best model improves the baseline by 14.52%. [2026-04-22T15:59:44.955Z] Top recommended movies for user id 72: [2026-04-22T15:59:44.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:59:44.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:59:44.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:59:44.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:59:44.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:59:44.955Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35025.025 ms) ====== [2026-04-22T15:59:44.955Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T15:59:45.685Z] GC before operation: completed in 190.074 ms, heap usage 166.307 MB -> 89.819 MB. [2026-04-22T15:59:49.987Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:59:54.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:59:59.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:00:03.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:00:07.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:00:10.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:00:12.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:00:16.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:00:16.220Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:00:16.220Z] The best model improves the baseline by 14.52%. [2026-04-22T16:00:16.966Z] Top recommended movies for user id 72: [2026-04-22T16:00:16.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:00:16.966Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:00:16.966Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:00:16.966Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:00:16.966Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:00:16.966Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (31361.165 ms) ====== [2026-04-22T16:00:16.966Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T16:00:16.966Z] GC before operation: completed in 266.623 ms, heap usage 390.291 MB -> 90.263 MB. [2026-04-22T16:00:22.401Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:00:27.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:00:33.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:00:39.867Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:00:43.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:00:46.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:00:50.750Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:00:54.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:00:54.058Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:00:54.058Z] The best model improves the baseline by 14.52%. [2026-04-22T16:00:54.794Z] Top recommended movies for user id 72: [2026-04-22T16:00:54.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:00:54.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:00:54.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:00:54.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:00:54.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:00:54.794Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (37918.630 ms) ====== [2026-04-22T16:00:54.794Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T16:00:55.545Z] GC before operation: completed in 367.466 ms, heap usage 237.057 MB -> 89.917 MB. [2026-04-22T16:01:02.171Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:01:06.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:01:10.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:01:15.691Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:01:17.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:01:19.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:01:21.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:01:23.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:01:24.212Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:01:24.212Z] The best model improves the baseline by 14.52%. [2026-04-22T16:01:24.212Z] Top recommended movies for user id 72: [2026-04-22T16:01:24.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:01:24.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:01:24.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:01:24.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:01:24.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:01:24.212Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (29020.335 ms) ====== [2026-04-22T16:01:24.212Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T16:01:24.212Z] GC before operation: completed in 184.111 ms, heap usage 203.350 MB -> 90.125 MB. [2026-04-22T16:01:28.478Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:01:32.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:01:37.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:01:40.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:01:42.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:01:45.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:01:47.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:01:50.265Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:01:51.015Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:01:51.016Z] The best model improves the baseline by 14.52%. [2026-04-22T16:01:51.769Z] Top recommended movies for user id 72: [2026-04-22T16:01:51.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:01:51.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:01:51.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:01:51.769Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:01:51.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:01:51.769Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26843.169 ms) ====== [2026-04-22T16:01:51.769Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T16:01:51.769Z] GC before operation: completed in 179.164 ms, heap usage 119.577 MB -> 89.776 MB. [2026-04-22T16:01:55.155Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:01:59.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:02:03.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:02:08.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:02:11.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:02:15.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:02:15.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:02:17.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:02:18.140Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:02:18.141Z] The best model improves the baseline by 14.52%. [2026-04-22T16:02:18.141Z] Top recommended movies for user id 72: [2026-04-22T16:02:18.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:02:18.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:02:18.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:02:18.141Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:02:18.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:02:18.141Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26488.308 ms) ====== [2026-04-22T16:02:18.141Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T16:02:18.141Z] GC before operation: completed in 147.912 ms, heap usage 267.706 MB -> 90.231 MB. [2026-04-22T16:02:23.846Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:02:24.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:02:27.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:02:30.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:02:33.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:02:34.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:02:38.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:02:38.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:02:38.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:02:38.063Z] The best model improves the baseline by 14.52%. [2026-04-22T16:02:38.063Z] Top recommended movies for user id 72: [2026-04-22T16:02:38.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:02:38.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:02:38.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:02:38.063Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:02:38.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:02:38.064Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20100.769 ms) ====== [2026-04-22T16:02:38.064Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T16:02:38.809Z] GC before operation: completed in 155.578 ms, heap usage 248.051 MB -> 90.247 MB. [2026-04-22T16:02:42.128Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:02:45.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:02:48.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:02:51.688Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:02:53.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:02:54.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:02:57.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:02:57.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:02:58.657Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:02:58.657Z] The best model improves the baseline by 14.52%. [2026-04-22T16:02:58.657Z] Top recommended movies for user id 72: [2026-04-22T16:02:58.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:02:58.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:02:58.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:02:58.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:02:58.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:02:58.657Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20224.111 ms) ====== [2026-04-22T16:02:58.657Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T16:02:58.657Z] GC before operation: completed in 193.153 ms, heap usage 177.830 MB -> 90.100 MB. [2026-04-22T16:03:01.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:03:05.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:03:07.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:03:13.310Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:03:14.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:03:16.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:03:20.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:03:20.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:03:21.695Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:03:21.695Z] The best model improves the baseline by 14.52%. [2026-04-22T16:03:21.695Z] Top recommended movies for user id 72: [2026-04-22T16:03:21.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:03:21.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:03:21.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:03:21.695Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:03:21.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:03:21.695Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23130.720 ms) ====== [2026-04-22T16:03:21.695Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T16:03:22.437Z] GC before operation: completed in 188.431 ms, heap usage 216.672 MB -> 90.288 MB. [2026-04-22T16:03:25.775Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:03:30.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:03:33.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:03:37.310Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:03:40.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:03:41.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:03:44.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:03:46.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:03:46.685Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:03:46.685Z] The best model improves the baseline by 14.52%. [2026-04-22T16:03:47.440Z] Top recommended movies for user id 72: [2026-04-22T16:03:47.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:03:47.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:03:47.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:03:47.440Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:03:47.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:03:47.440Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24990.238 ms) ====== [2026-04-22T16:03:47.440Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T16:03:47.440Z] GC before operation: completed in 179.251 ms, heap usage 197.272 MB -> 90.130 MB. [2026-04-22T16:03:52.767Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:03:55.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:04:01.999Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:04:02.751Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:04:05.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:04:10.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:04:11.942Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:04:15.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:04:16.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:04:16.063Z] The best model improves the baseline by 14.52%. [2026-04-22T16:04:16.825Z] Top recommended movies for user id 72: [2026-04-22T16:04:16.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:04:16.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:04:16.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:04:16.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:04:16.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:04:16.825Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (29178.793 ms) ====== [2026-04-22T16:04:16.825Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T16:04:16.825Z] GC before operation: completed in 259.585 ms, heap usage 210.836 MB -> 90.248 MB. [2026-04-22T16:04:22.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:04:27.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:04:34.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:04:39.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:04:42.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:04:46.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:04:50.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:04:55.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:04:55.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:04:55.521Z] The best model improves the baseline by 14.52%. [2026-04-22T16:04:55.521Z] Top recommended movies for user id 72: [2026-04-22T16:04:55.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:04:55.521Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:04:55.521Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:04:55.521Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:04:55.521Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:04:55.521Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (37616.829 ms) ====== [2026-04-22T16:04:55.521Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T16:04:55.521Z] GC before operation: completed in 313.704 ms, heap usage 119.878 MB -> 89.968 MB. [2026-04-22T16:04:59.906Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:05:06.628Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:05:12.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:05:16.633Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:05:19.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:05:22.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:05:25.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:05:31.136Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:05:36.723Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:05:36.723Z] The best model improves the baseline by 14.52%. [2026-04-22T16:05:36.723Z] Top recommended movies for user id 72: [2026-04-22T16:05:36.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:05:36.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:05:36.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:05:36.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:05:36.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:05:36.723Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (35241.039 ms) ====== [2026-04-22T16:05:36.723Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T16:05:36.723Z] GC before operation: completed in 299.366 ms, heap usage 447.707 MB -> 90.491 MB. [2026-04-22T16:05:36.723Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T16:05:40.065Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T16:05:45.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T16:05:51.442Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T16:05:54.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T16:06:00.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T16:06:01.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T16:06:05.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T16:06:05.217Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T16:06:05.217Z] The best model improves the baseline by 14.52%. [2026-04-22T16:06:10.879Z] Top recommended movies for user id 72: [2026-04-22T16:06:10.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T16:06:10.879Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T16:06:10.879Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T16:06:10.879Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T16:06:10.879Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T16:06:10.879Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (35173.593 ms) ====== [2026-04-22T16:06:10.879Z] ----------------------------------- [2026-04-22T16:06:10.879Z] renaissance-movie-lens_0_PASSED [2026-04-22T16:06:10.879Z] ----------------------------------- [2026-04-22T16:06:10.879Z] [2026-04-22T16:06:10.879Z] TEST TEARDOWN: [2026-04-22T16:06:10.879Z] Nothing to be done for teardown. [2026-04-22T16:06:10.879Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 16:06:06 2026 Epoch Time (ms): 1776873966084