[2026-04-01T23:40:41.165Z] Running test renaissance-movie-lens_0 ... [2026-04-01T23:40:41.165Z] =============================================== [2026-04-01T23:40:41.165Z] renaissance-movie-lens_0 Start Time: Wed Apr 1 23:40:40 2026 Epoch Time (ms): 1775086840421 [2026-04-01T23:40:41.165Z] variation: NoOptions [2026-04-01T23:40:41.165Z] JVM_OPTIONS: [2026-04-01T23:40:41.165Z] { \ [2026-04-01T23:40:41.165Z] echo ""; echo "TEST SETUP:"; \ [2026-04-01T23:40:41.165Z] echo "Nothing to be done for setup."; \ [2026-04-01T23:40:41.165Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17750855464704/renaissance-movie-lens_0"; \ [2026-04-01T23:40:41.165Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17750855464704/renaissance-movie-lens_0"; \ [2026-04-01T23:40:41.165Z] echo ""; echo "TESTING:"; \ [2026-04-01T23:40:41.165Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17750855464704/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-01T23:40:41.165Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17750855464704/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-01T23:40:41.165Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-01T23:40:41.165Z] echo "Nothing to be done for teardown."; \ [2026-04-01T23:40:41.165Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17750855464704/TestTargetResult"; [2026-04-01T23:40:41.165Z] [2026-04-01T23:40:41.165Z] TEST SETUP: [2026-04-01T23:40:41.165Z] Nothing to be done for setup. [2026-04-01T23:40:41.165Z] [2026-04-01T23:40:41.165Z] TESTING: [2026-04-01T23:40:51.049Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-01T23:41:02.809Z] 23:41:01.461 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-01T23:41:05.289Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-01T23:41:06.891Z] Training: 60056, validation: 20285, test: 19854 [2026-04-01T23:41:06.891Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-01T23:41:06.891Z] GC before operation: completed in 277.479 ms, heap usage 337.845 MB -> 75.725 MB. [2026-04-01T23:41:21.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:41:28.189Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:41:35.065Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:41:40.679Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:41:44.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:41:47.578Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:41:50.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:41:53.456Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:41:54.221Z] 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. [2026-04-01T23:41:54.221Z] The best model improves the baseline by 14.52%. [2026-04-01T23:41:54.221Z] Top recommended movies for user id 72: [2026-04-01T23:41:54.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:41:54.221Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:41:54.221Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:41:54.221Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:41:54.221Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:41:54.221Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (47554.996 ms) ====== [2026-04-01T23:41:54.221Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-01T23:41:54.994Z] GC before operation: completed in 169.290 ms, heap usage 265.031 MB -> 94.507 MB. [2026-04-01T23:41:59.463Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:42:04.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:42:09.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:42:13.595Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:42:17.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:42:19.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:42:21.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:42:25.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:42:25.388Z] 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. [2026-04-01T23:42:25.388Z] The best model improves the baseline by 14.52%. [2026-04-01T23:42:25.388Z] Top recommended movies for user id 72: [2026-04-01T23:42:25.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:42:25.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:42:25.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:42:25.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:42:25.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:42:25.388Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30978.241 ms) ====== [2026-04-01T23:42:25.388Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-01T23:42:26.158Z] GC before operation: completed in 224.876 ms, heap usage 529.398 MB -> 92.454 MB. [2026-04-01T23:42:30.620Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:42:35.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:42:39.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:42:44.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:42:46.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:42:49.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:42:52.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:42:55.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:42:55.376Z] 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. [2026-04-01T23:42:55.376Z] The best model improves the baseline by 14.52%. [2026-04-01T23:42:55.376Z] Top recommended movies for user id 72: [2026-04-01T23:42:55.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:42:55.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:42:55.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:42:55.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:42:55.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:42:55.376Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29315.726 ms) ====== [2026-04-01T23:42:55.376Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-01T23:42:55.376Z] GC before operation: completed in 240.204 ms, heap usage 627.232 MB -> 95.154 MB. [2026-04-01T23:42:59.829Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:43:04.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:43:08.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:43:13.269Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:43:18.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:43:18.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:43:21.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:43:24.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:43:24.114Z] 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. [2026-04-01T23:43:24.114Z] The best model improves the baseline by 14.52%. [2026-04-01T23:43:24.884Z] Top recommended movies for user id 72: [2026-04-01T23:43:24.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:43:24.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:43:24.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:43:24.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:43:24.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:43:24.884Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29128.175 ms) ====== [2026-04-01T23:43:24.884Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-01T23:43:24.884Z] GC before operation: completed in 263.482 ms, heap usage 212.295 MB -> 89.331 MB. [2026-04-01T23:43:29.436Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:43:35.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:43:41.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:43:45.254Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:43:47.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:43:51.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:43:53.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:43:56.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:43:56.218Z] 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. [2026-04-01T23:43:56.218Z] The best model improves the baseline by 14.52%. [2026-04-01T23:43:56.218Z] Top recommended movies for user id 72: [2026-04-01T23:43:56.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:43:56.218Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:43:56.218Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:43:56.218Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:43:56.218Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:43:56.218Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31739.516 ms) ====== [2026-04-01T23:43:56.218Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-01T23:43:56.994Z] GC before operation: completed in 263.377 ms, heap usage 382.731 MB -> 94.418 MB. [2026-04-01T23:44:01.571Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:44:05.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:44:09.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:44:14.083Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:44:15.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:44:19.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:44:20.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:44:23.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:44:24.080Z] 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. [2026-04-01T23:44:24.080Z] The best model improves the baseline by 14.52%. [2026-04-01T23:44:24.080Z] Top recommended movies for user id 72: [2026-04-01T23:44:24.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:44:24.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:44:24.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:44:24.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:44:24.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:44:24.080Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (27381.947 ms) ====== [2026-04-01T23:44:24.080Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-01T23:44:24.080Z] GC before operation: completed in 168.931 ms, heap usage 760.627 MB -> 93.679 MB. [2026-04-01T23:44:29.054Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:44:32.554Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:44:37.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:44:41.514Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:44:44.058Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:44:46.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:44:48.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:44:51.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:44:51.401Z] 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. [2026-04-01T23:44:51.401Z] The best model improves the baseline by 14.52%. [2026-04-01T23:44:52.154Z] Top recommended movies for user id 72: [2026-04-01T23:44:52.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:44:52.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:44:52.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:44:52.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:44:52.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:44:52.154Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27453.068 ms) ====== [2026-04-01T23:44:52.154Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-01T23:44:52.154Z] GC before operation: completed in 217.231 ms, heap usage 285.405 MB -> 89.847 MB. [2026-04-01T23:44:56.584Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:45:00.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:45:05.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:45:09.167Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:45:11.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:45:14.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:45:16.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:45:18.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:45:18.812Z] 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. [2026-04-01T23:45:18.812Z] The best model improves the baseline by 14.52%. [2026-04-01T23:45:18.812Z] Top recommended movies for user id 72: [2026-04-01T23:45:18.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:45:18.812Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:45:18.812Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:45:18.812Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:45:18.812Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:45:18.812Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26865.280 ms) ====== [2026-04-01T23:45:18.812Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-01T23:45:18.812Z] GC before operation: completed in 228.892 ms, heap usage 553.564 MB -> 93.687 MB. [2026-04-01T23:45:23.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:45:27.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:45:31.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:45:35.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:45:37.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:45:40.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:45:43.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:45:45.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:45:46.068Z] 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. [2026-04-01T23:45:46.068Z] The best model improves the baseline by 14.52%. [2026-04-01T23:45:46.068Z] Top recommended movies for user id 72: [2026-04-01T23:45:46.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:45:46.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:45:46.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:45:46.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:45:46.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:45:46.068Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27272.255 ms) ====== [2026-04-01T23:45:46.068Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-01T23:45:46.817Z] GC before operation: completed in 222.606 ms, heap usage 287.737 MB -> 89.789 MB. [2026-04-01T23:45:51.300Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:45:55.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:45:59.667Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:46:03.048Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:46:05.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:46:08.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:46:11.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:46:13.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:46:14.447Z] 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. [2026-04-01T23:46:14.447Z] The best model improves the baseline by 14.52%. [2026-04-01T23:46:14.447Z] Top recommended movies for user id 72: [2026-04-01T23:46:14.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:46:14.447Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:46:14.447Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:46:14.447Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:46:14.447Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:46:14.447Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28060.461 ms) ====== [2026-04-01T23:46:14.447Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-01T23:46:15.204Z] GC before operation: completed in 205.210 ms, heap usage 486.769 MB -> 93.580 MB. [2026-04-01T23:46:19.572Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:46:23.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:46:28.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:46:31.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:46:35.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:46:37.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:46:40.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:46:42.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:46:42.545Z] 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. [2026-04-01T23:46:42.545Z] The best model improves the baseline by 14.52%. [2026-04-01T23:46:43.310Z] Top recommended movies for user id 72: [2026-04-01T23:46:43.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:46:43.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:46:43.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:46:43.310Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:46:43.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:46:43.310Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28206.980 ms) ====== [2026-04-01T23:46:43.310Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-01T23:46:43.310Z] GC before operation: completed in 248.554 ms, heap usage 855.886 MB -> 94.084 MB. [2026-04-01T23:46:47.725Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:46:52.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:46:56.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:46:59.870Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:47:02.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:47:05.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:47:08.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:47:10.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:47:10.515Z] 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. [2026-04-01T23:47:10.515Z] The best model improves the baseline by 14.52%. [2026-04-01T23:47:10.515Z] Top recommended movies for user id 72: [2026-04-01T23:47:10.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:47:10.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:47:10.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:47:10.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:47:10.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:47:10.515Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27469.385 ms) ====== [2026-04-01T23:47:10.515Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-01T23:47:11.264Z] GC before operation: completed in 160.184 ms, heap usage 248.774 MB -> 93.121 MB. [2026-04-01T23:47:16.002Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:47:20.427Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:47:24.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:47:29.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:47:30.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:47:33.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:47:35.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:47:38.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:47:38.953Z] 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. [2026-04-01T23:47:38.953Z] The best model improves the baseline by 14.52%. [2026-04-01T23:47:38.953Z] Top recommended movies for user id 72: [2026-04-01T23:47:38.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:47:38.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:47:38.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:47:38.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:47:38.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:47:38.953Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28096.307 ms) ====== [2026-04-01T23:47:38.953Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-01T23:47:38.953Z] GC before operation: completed in 216.712 ms, heap usage 260.710 MB -> 94.790 MB. [2026-04-01T23:47:43.337Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:47:47.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:47:52.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:47:56.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:47:58.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:48:00.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:48:03.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:48:05.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:48:05.708Z] 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. [2026-04-01T23:48:05.708Z] The best model improves the baseline by 14.52%. [2026-04-01T23:48:06.467Z] Top recommended movies for user id 72: [2026-04-01T23:48:06.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:48:06.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:48:06.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:48:06.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:48:06.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:48:06.467Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26913.194 ms) ====== [2026-04-01T23:48:06.467Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-01T23:48:06.467Z] GC before operation: completed in 229.590 ms, heap usage 261.188 MB -> 89.838 MB. [2026-04-01T23:48:10.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:48:15.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:48:18.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:48:22.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:48:25.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:48:27.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:48:30.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:48:32.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:48:32.658Z] 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. [2026-04-01T23:48:32.658Z] The best model improves the baseline by 14.52%. [2026-04-01T23:48:32.658Z] Top recommended movies for user id 72: [2026-04-01T23:48:32.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:48:32.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:48:32.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:48:32.658Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:48:32.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:48:32.658Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26574.949 ms) ====== [2026-04-01T23:48:32.658Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-01T23:48:33.420Z] GC before operation: completed in 202.818 ms, heap usage 622.168 MB -> 93.784 MB. [2026-04-01T23:48:37.790Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:48:41.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:48:46.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:48:49.397Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:48:51.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:48:54.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:48:57.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:48:59.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:48:59.919Z] 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. [2026-04-01T23:48:59.919Z] The best model improves the baseline by 14.52%. [2026-04-01T23:48:59.919Z] Top recommended movies for user id 72: [2026-04-01T23:48:59.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:48:59.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:48:59.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:48:59.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:48:59.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:48:59.919Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26915.732 ms) ====== [2026-04-01T23:48:59.919Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-01T23:49:00.675Z] GC before operation: completed in 201.341 ms, heap usage 493.266 MB -> 90.299 MB. [2026-04-01T23:49:05.068Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:49:08.413Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:49:12.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:49:16.284Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:49:18.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:49:20.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:49:24.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:49:26.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:49:26.416Z] 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. [2026-04-01T23:49:26.416Z] The best model improves the baseline by 14.52%. [2026-04-01T23:49:27.167Z] Top recommended movies for user id 72: [2026-04-01T23:49:27.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:49:27.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:49:27.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:49:27.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:49:27.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:49:27.167Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26463.797 ms) ====== [2026-04-01T23:49:27.167Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-01T23:49:27.167Z] GC before operation: completed in 188.470 ms, heap usage 637.393 MB -> 93.749 MB. [2026-04-01T23:49:31.604Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:49:37.850Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:49:39.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:49:43.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:49:46.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:49:48.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:49:51.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:49:53.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:49:53.512Z] 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. [2026-04-01T23:49:53.512Z] The best model improves the baseline by 14.52%. [2026-04-01T23:49:54.269Z] Top recommended movies for user id 72: [2026-04-01T23:49:54.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:49:54.269Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:49:54.269Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:49:54.269Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:49:54.269Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:49:54.269Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27091.844 ms) ====== [2026-04-01T23:49:54.269Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-01T23:49:54.269Z] GC before operation: completed in 267.428 ms, heap usage 493.198 MB -> 90.222 MB. [2026-04-01T23:49:59.793Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:50:03.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:50:06.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:50:11.366Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:50:13.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:50:16.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:50:18.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:50:21.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:50:21.165Z] 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. [2026-04-01T23:50:21.165Z] The best model improves the baseline by 14.52%. [2026-04-01T23:50:21.165Z] Top recommended movies for user id 72: [2026-04-01T23:50:21.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:50:21.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:50:21.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:50:21.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:50:21.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:50:21.165Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27008.714 ms) ====== [2026-04-01T23:50:21.165Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-01T23:50:21.953Z] GC before operation: completed in 207.672 ms, heap usage 752.511 MB -> 93.950 MB. [2026-04-01T23:50:25.367Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T23:50:29.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T23:50:34.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T23:50:38.803Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T23:50:40.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T23:50:42.865Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T23:50:47.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T23:50:50.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T23:50:50.283Z] 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. [2026-04-01T23:50:50.283Z] The best model improves the baseline by 14.52%. [2026-04-01T23:50:50.283Z] Top recommended movies for user id 72: [2026-04-01T23:50:50.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T23:50:50.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T23:50:50.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T23:50:50.283Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T23:50:50.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T23:50:50.283Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27510.991 ms) ====== [2026-04-01T23:50:50.283Z] ----------------------------------- [2026-04-01T23:50:50.283Z] renaissance-movie-lens_0_PASSED [2026-04-01T23:50:50.283Z] ----------------------------------- [2026-04-01T23:50:50.283Z] [2026-04-01T23:50:50.283Z] TEST TEARDOWN: [2026-04-01T23:50:50.283Z] Nothing to be done for teardown. [2026-04-01T23:50:50.283Z] renaissance-movie-lens_0 Finish Time: Wed Apr 1 23:50:49 2026 Epoch Time (ms): 1775087449434