[2026-03-04T23:52:20.754Z] Running test renaissance-movie-lens_0 ... [2026-03-04T23:52:20.754Z] =============================================== [2026-03-04T23:52:20.754Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 23:52:19 2026 Epoch Time (ms): 1772668339787 [2026-03-04T23:52:20.754Z] variation: NoOptions [2026-03-04T23:52:20.754Z] JVM_OPTIONS: [2026-03-04T23:52:20.754Z] { \ [2026-03-04T23:52:20.754Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T23:52:20.754Z] echo "Nothing to be done for setup."; \ [2026-03-04T23:52:20.755Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17726666918344/renaissance-movie-lens_0"; \ [2026-03-04T23:52:20.755Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17726666918344/renaissance-movie-lens_0"; \ [2026-03-04T23:52:20.755Z] echo ""; echo "TESTING:"; \ [2026-03-04T23:52:20.755Z] "/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_17726666918344/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T23:52:20.755Z] 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_17726666918344/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T23:52:20.755Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T23:52:20.755Z] echo "Nothing to be done for teardown."; \ [2026-03-04T23:52:20.755Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17726666918344/TestTargetResult"; [2026-03-04T23:52:20.755Z] [2026-03-04T23:52:20.755Z] TEST SETUP: [2026-03-04T23:52:20.755Z] Nothing to be done for setup. [2026-03-04T23:52:20.755Z] [2026-03-04T23:52:20.755Z] TESTING: [2026-03-04T23:52:34.452Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T23:52:50.400Z] 23:52:48.563 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-04T23:52:54.242Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T23:52:54.991Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T23:52:54.991Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T23:52:55.742Z] GC before operation: completed in 339.127 ms, heap usage 333.879 MB -> 75.696 MB. [2026-03-04T23:53:11.748Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:53:21.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:53:35.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:53:47.190Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:53:51.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:53:56.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:53:59.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:54:02.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:54:03.710Z] 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. [2026-03-04T23:54:03.710Z] The best model improves the baseline by 14.52%. [2026-03-04T23:54:04.471Z] Top recommended movies for user id 72: [2026-03-04T23:54:04.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:54:04.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:54:04.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:54:04.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:54:04.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:54:04.471Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (68538.682 ms) ====== [2026-03-04T23:54:04.471Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T23:54:04.471Z] GC before operation: completed in 266.728 ms, heap usage 543.759 MB -> 91.536 MB. [2026-03-04T23:54:11.344Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:54:18.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:54:23.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:54:28.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:54:31.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:54:35.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:54:38.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:54:41.456Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:54:42.216Z] 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. [2026-03-04T23:54:42.216Z] The best model improves the baseline by 14.52%. [2026-03-04T23:54:42.216Z] Top recommended movies for user id 72: [2026-03-04T23:54:42.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:54:42.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:54:42.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:54:42.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:54:42.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:54:42.216Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (37959.314 ms) ====== [2026-03-04T23:54:42.216Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T23:54:42.965Z] GC before operation: completed in 230.987 ms, heap usage 227.731 MB -> 88.356 MB. [2026-03-04T23:54:48.482Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:54:54.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:55:00.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:55:05.270Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:55:09.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:55:13.026Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:55:16.415Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:55:19.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:55:20.564Z] 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. [2026-03-04T23:55:20.564Z] The best model improves the baseline by 14.52%. [2026-03-04T23:55:20.564Z] Top recommended movies for user id 72: [2026-03-04T23:55:20.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:55:20.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:55:20.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:55:20.564Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:55:20.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:55:20.564Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38013.631 ms) ====== [2026-03-04T23:55:20.564Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T23:55:20.564Z] GC before operation: completed in 262.061 ms, heap usage 141.049 MB -> 89.066 MB. [2026-03-04T23:55:26.110Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:55:32.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:55:39.017Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:55:43.395Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:55:47.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:55:51.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:55:55.576Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:55:58.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:55:59.707Z] 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. [2026-03-04T23:55:59.707Z] The best model improves the baseline by 14.52%. [2026-03-04T23:55:59.707Z] Top recommended movies for user id 72: [2026-03-04T23:55:59.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:55:59.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:55:59.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:55:59.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:55:59.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:55:59.707Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (38855.100 ms) ====== [2026-03-04T23:55:59.707Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T23:55:59.707Z] GC before operation: completed in 297.640 ms, heap usage 198.909 MB -> 89.266 MB. [2026-03-04T23:56:05.228Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:56:10.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:56:16.900Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:56:21.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:56:25.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:56:29.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:56:32.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:56:35.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:56:36.670Z] 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. [2026-03-04T23:56:36.670Z] The best model improves the baseline by 14.52%. [2026-03-04T23:56:36.670Z] Top recommended movies for user id 72: [2026-03-04T23:56:36.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:56:36.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:56:36.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:56:36.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:56:36.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:56:36.670Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (36980.062 ms) ====== [2026-03-04T23:56:36.670Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T23:56:36.670Z] GC before operation: completed in 1.551 ms, heap usage 136.230 MB -> 136.266 MB. [2026-03-04T23:56:43.458Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:56:48.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:56:55.726Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:57:00.650Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:57:04.044Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:57:07.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:57:10.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:57:14.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:57:14.958Z] 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. [2026-03-04T23:57:14.958Z] The best model improves the baseline by 14.52%. [2026-03-04T23:57:14.958Z] Top recommended movies for user id 72: [2026-03-04T23:57:14.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:57:14.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:57:14.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:57:14.958Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:57:14.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:57:14.958Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (38145.412 ms) ====== [2026-03-04T23:57:14.958Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T23:57:15.720Z] GC before operation: completed in 305.471 ms, heap usage 268.083 MB -> 93.118 MB. [2026-03-04T23:57:22.523Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:57:28.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:57:32.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:57:38.044Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:57:41.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:57:44.150Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:57:47.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:57:50.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:57:51.658Z] 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. [2026-03-04T23:57:51.658Z] The best model improves the baseline by 14.52%. [2026-03-04T23:57:52.415Z] Top recommended movies for user id 72: [2026-03-04T23:57:52.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:57:52.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:57:52.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:57:52.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:57:52.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:57:52.415Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (36606.498 ms) ====== [2026-03-04T23:57:52.415Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T23:57:52.415Z] GC before operation: completed in 211.885 ms, heap usage 442.367 MB -> 89.953 MB. [2026-03-04T23:57:56.788Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:58:01.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:58:07.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:58:13.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:58:15.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:58:19.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:58:22.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:58:25.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:58:26.715Z] 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. [2026-03-04T23:58:26.715Z] The best model improves the baseline by 14.52%. [2026-03-04T23:58:26.715Z] Top recommended movies for user id 72: [2026-03-04T23:58:26.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:58:26.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:58:26.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:58:26.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:58:26.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:58:26.715Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (34488.906 ms) ====== [2026-03-04T23:58:26.715Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T23:58:26.715Z] GC before operation: completed in 241.310 ms, heap usage 291.745 MB -> 94.048 MB. [2026-03-04T23:58:32.796Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:58:38.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:58:43.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:58:49.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:58:52.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:58:55.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:58:59.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:59:02.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:59:03.474Z] 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. [2026-03-04T23:59:03.474Z] The best model improves the baseline by 14.52%. [2026-03-04T23:59:04.224Z] Top recommended movies for user id 72: [2026-03-04T23:59:04.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:59:04.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:59:04.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:59:04.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:59:04.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:59:04.224Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (37182.948 ms) ====== [2026-03-04T23:59:04.224Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T23:59:04.224Z] GC before operation: completed in 275.211 ms, heap usage 556.001 MB -> 93.484 MB. [2026-03-04T23:59:12.338Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:59:17.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:59:22.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:59:28.253Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:59:30.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:59:35.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:59:37.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:59:41.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:59:41.994Z] 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. [2026-03-04T23:59:41.994Z] The best model improves the baseline by 14.52%. [2026-03-04T23:59:42.749Z] Top recommended movies for user id 72: [2026-03-04T23:59:42.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:59:42.749Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:59:42.749Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:59:42.749Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:59:42.749Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:59:42.749Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (38002.218 ms) ====== [2026-03-04T23:59:42.749Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T23:59:42.749Z] GC before operation: completed in 314.103 ms, heap usage 261.228 MB -> 90.006 MB. [2026-03-04T23:59:49.562Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:59:53.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:59:59.490Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:00:04.495Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:00:06.907Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:00:10.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:00:13.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:00:16.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:00:17.712Z] 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. [2026-03-05T00:00:17.712Z] The best model improves the baseline by 14.52%. [2026-03-05T00:00:17.712Z] Top recommended movies for user id 72: [2026-03-05T00:00:17.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:00:17.712Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:00:17.712Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:00:17.712Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:00:17.712Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:00:17.712Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (35096.750 ms) ====== [2026-03-05T00:00:17.712Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T00:00:18.472Z] GC before operation: completed in 288.084 ms, heap usage 382.077 MB -> 89.935 MB. [2026-03-05T00:00:23.965Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:00:29.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:00:35.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:00:40.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:00:42.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:00:46.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:00:50.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:00:52.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:00:53.185Z] 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. [2026-03-05T00:00:53.185Z] The best model improves the baseline by 14.52%. [2026-03-05T00:00:53.185Z] Top recommended movies for user id 72: [2026-03-05T00:00:53.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:00:53.185Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:00:53.185Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:00:53.185Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:00:53.185Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:00:53.185Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35070.268 ms) ====== [2026-03-05T00:00:53.185Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T00:00:53.185Z] GC before operation: completed in 254.070 ms, heap usage 332.606 MB -> 91.919 MB. [2026-03-05T00:01:01.319Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:01:06.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:01:12.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:01:17.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:01:21.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:01:24.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:01:27.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:01:31.295Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:01:31.295Z] 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. [2026-03-05T00:01:31.295Z] The best model improves the baseline by 14.52%. [2026-03-05T00:01:32.052Z] Top recommended movies for user id 72: [2026-03-05T00:01:32.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:01:32.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:01:32.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:01:32.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:01:32.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:01:32.052Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (38279.475 ms) ====== [2026-03-05T00:01:32.052Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T00:01:32.052Z] GC before operation: completed in 302.003 ms, heap usage 293.952 MB -> 93.722 MB. [2026-03-05T00:01:37.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:01:43.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:01:48.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:01:53.161Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:01:56.514Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:01:58.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:02:02.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:02:06.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:02:07.359Z] 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. [2026-03-05T00:02:07.359Z] The best model improves the baseline by 14.52%. [2026-03-05T00:02:07.359Z] Top recommended movies for user id 72: [2026-03-05T00:02:07.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:02:07.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:02:07.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:02:07.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:02:07.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:02:07.359Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35117.014 ms) ====== [2026-03-05T00:02:07.359Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T00:02:07.359Z] GC before operation: completed in 283.212 ms, heap usage 530.002 MB -> 90.217 MB. [2026-03-05T00:02:12.859Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:02:17.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:02:23.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:02:27.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:02:29.964Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:02:33.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:02:36.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:02:39.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:02:39.906Z] 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. [2026-03-05T00:02:39.906Z] The best model improves the baseline by 14.52%. [2026-03-05T00:02:39.906Z] Top recommended movies for user id 72: [2026-03-05T00:02:39.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:02:39.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:02:39.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:02:39.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:02:39.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:02:39.906Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (32535.256 ms) ====== [2026-03-05T00:02:39.906Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T00:02:40.667Z] GC before operation: completed in 285.138 ms, heap usage 431.265 MB -> 90.323 MB. [2026-03-05T00:02:47.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:02:52.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:02:58.950Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:03:04.474Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:03:07.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:03:08.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:03:12.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:03:15.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:03:16.441Z] 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. [2026-03-05T00:03:16.441Z] The best model improves the baseline by 14.52%. [2026-03-05T00:03:16.441Z] Top recommended movies for user id 72: [2026-03-05T00:03:16.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:03:16.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:03:16.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:03:16.441Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:03:16.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:03:16.441Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (36127.764 ms) ====== [2026-03-05T00:03:16.441Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T00:03:16.441Z] GC before operation: completed in 250.972 ms, heap usage 620.816 MB -> 93.646 MB. [2026-03-05T00:03:21.910Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:03:27.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:03:32.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:03:37.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:03:39.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:03:43.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:03:46.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:03:48.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:03:49.619Z] 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. [2026-03-05T00:03:49.619Z] The best model improves the baseline by 14.52%. [2026-03-05T00:03:49.619Z] Top recommended movies for user id 72: [2026-03-05T00:03:49.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:03:49.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:03:49.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:03:49.619Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:03:49.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:03:49.619Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (33048.411 ms) ====== [2026-03-05T00:03:49.619Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T00:03:50.374Z] GC before operation: completed in 271.681 ms, heap usage 530.175 MB -> 90.430 MB. [2026-03-05T00:03:55.246Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:04:00.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:04:06.245Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:04:11.757Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:04:15.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:04:18.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:04:21.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:04:26.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:04:26.963Z] 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. [2026-03-05T00:04:26.963Z] The best model improves the baseline by 14.52%. [2026-03-05T00:04:26.963Z] Top recommended movies for user id 72: [2026-03-05T00:04:26.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:04:26.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:04:26.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:04:26.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:04:26.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:04:26.963Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (36916.617 ms) ====== [2026-03-05T00:04:26.963Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T00:04:26.963Z] GC before operation: completed in 279.542 ms, heap usage 542.042 MB -> 93.488 MB. [2026-03-05T00:04:33.783Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:04:38.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:04:44.189Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:04:48.558Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:04:51.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:04:55.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:04:58.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:05:02.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:05:02.109Z] 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. [2026-03-05T00:05:02.109Z] The best model improves the baseline by 14.52%. [2026-03-05T00:05:02.867Z] Top recommended movies for user id 72: [2026-03-05T00:05:02.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:05:02.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:05:02.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:05:02.867Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:05:02.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:05:02.867Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (35441.011 ms) ====== [2026-03-05T00:05:02.867Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T00:05:02.867Z] GC before operation: completed in 357.246 ms, heap usage 113.720 MB -> 93.000 MB. [2026-03-05T00:05:09.634Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:05:15.156Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:05:20.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:05:25.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:05:27.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:05:31.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:05:33.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:05:37.095Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:05:37.855Z] 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. [2026-03-05T00:05:37.855Z] The best model improves the baseline by 14.52%. [2026-03-05T00:05:37.855Z] Top recommended movies for user id 72: [2026-03-05T00:05:37.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:05:37.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:05:37.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:05:37.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:05:37.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:05:37.855Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (35106.649 ms) ====== [2026-03-05T00:05:39.425Z] ----------------------------------- [2026-03-05T00:05:39.425Z] renaissance-movie-lens_0_PASSED [2026-03-05T00:05:39.425Z] ----------------------------------- [2026-03-05T00:05:39.425Z] [2026-03-05T00:05:39.425Z] TEST TEARDOWN: [2026-03-05T00:05:39.425Z] Nothing to be done for teardown. [2026-03-05T00:05:39.425Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 00:05:38 2026 Epoch Time (ms): 1772669138650