[2025-06-18T22:46:46.934Z] Running test renaissance-movie-lens_0 ... [2025-06-18T22:46:46.934Z] =============================================== [2025-06-18T22:46:46.934Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 22:46:45 2025 Epoch Time (ms): 1750286805558 [2025-06-18T22:46:46.934Z] variation: NoOptions [2025-06-18T22:46:46.934Z] JVM_OPTIONS: [2025-06-18T22:46:46.934Z] { \ [2025-06-18T22:46:46.934Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T22:46:46.934Z] echo "Nothing to be done for setup."; \ [2025-06-18T22:46:46.934Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17502794188704/renaissance-movie-lens_0"; \ [2025-06-18T22:46:46.934Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17502794188704/renaissance-movie-lens_0"; \ [2025-06-18T22:46:46.934Z] echo ""; echo "TESTING:"; \ [2025-06-18T22:46:46.934Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17502794188704/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T22:46:46.934Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17502794188704/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T22:46:46.934Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T22:46:46.934Z] echo "Nothing to be done for teardown."; \ [2025-06-18T22:46:46.934Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17502794188704/TestTargetResult"; [2025-06-18T22:46:46.934Z] [2025-06-18T22:46:46.934Z] TEST SETUP: [2025-06-18T22:46:46.934Z] Nothing to be done for setup. [2025-06-18T22:46:46.934Z] [2025-06-18T22:46:46.934Z] TESTING: [2025-06-18T22:47:18.611Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-18T22:48:16.665Z] 22:48:12.929 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-18T22:48:31.189Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T22:48:36.884Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T22:48:36.884Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T22:48:36.884Z] GC before operation: completed in 855.235 ms, heap usage 525.026 MB -> 76.057 MB. [2025-06-18T22:49:44.551Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:50:26.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:51:02.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:51:38.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:51:55.989Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:52:15.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:52:34.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:52:46.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:52:47.793Z] 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. [2025-06-18T22:52:48.615Z] The best model improves the baseline by 14.52%. [2025-06-18T22:52:50.304Z] Top recommended movies for user id 72: [2025-06-18T22:52:50.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T22:52:50.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T22:52:50.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T22:52:50.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T22:52:50.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T22:52:50.304Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (253150.811 ms) ====== [2025-06-18T22:52:50.304Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T22:52:51.120Z] GC before operation: completed in 1001.762 ms, heap usage 199.008 MB -> 91.394 MB. [2025-06-18T22:53:14.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:53:36.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:53:56.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:54:16.599Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:54:28.244Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:54:39.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:54:50.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:54:59.719Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:55:00.615Z] 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. [2025-06-18T22:55:00.615Z] The best model improves the baseline by 14.52%. [2025-06-18T22:55:02.461Z] Top recommended movies for user id 72: [2025-06-18T22:55:02.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T22:55:02.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T22:55:02.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T22:55:02.461Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T22:55:02.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T22:55:02.461Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (130829.115 ms) ====== [2025-06-18T22:55:02.461Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T22:55:03.380Z] GC before operation: completed in 831.092 ms, heap usage 125.436 MB -> 91.488 MB. [2025-06-18T22:55:26.249Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:55:44.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:56:04.810Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:56:19.425Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:56:28.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:56:38.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:56:47.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:56:57.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:56:58.937Z] 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. [2025-06-18T22:56:58.937Z] The best model improves the baseline by 14.52%. [2025-06-18T22:56:59.784Z] Top recommended movies for user id 72: [2025-06-18T22:56:59.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T22:56:59.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T22:56:59.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T22:56:59.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T22:56:59.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T22:56:59.784Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (116699.563 ms) ====== [2025-06-18T22:56:59.784Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T22:57:00.627Z] GC before operation: completed in 865.472 ms, heap usage 431.420 MB -> 89.551 MB. [2025-06-18T22:57:20.529Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:57:35.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T22:57:55.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T22:58:13.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T22:58:25.545Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T22:58:37.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T22:58:48.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T22:58:59.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T22:59:00.917Z] 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. [2025-06-18T22:59:00.917Z] The best model improves the baseline by 14.52%. [2025-06-18T22:59:01.759Z] Top recommended movies for user id 72: [2025-06-18T22:59:01.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T22:59:01.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T22:59:01.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T22:59:01.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T22:59:01.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T22:59:01.759Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (121357.990 ms) ====== [2025-06-18T22:59:01.759Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T22:59:03.539Z] GC before operation: completed in 1158.988 ms, heap usage 412.137 MB -> 89.997 MB. [2025-06-18T22:59:23.624Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T22:59:40.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:00:01.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:00:19.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:00:33.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:00:44.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:01:00.786Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:01:09.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:01:12.490Z] 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. [2025-06-18T23:01:12.490Z] The best model improves the baseline by 14.52%. [2025-06-18T23:01:13.270Z] Top recommended movies for user id 72: [2025-06-18T23:01:13.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:01:13.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:01:13.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:01:13.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:01:13.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:01:13.271Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (130433.520 ms) ====== [2025-06-18T23:01:13.271Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T23:01:14.857Z] GC before operation: completed in 904.761 ms, heap usage 490.272 MB -> 89.844 MB. [2025-06-18T23:01:33.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:01:52.754Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:02:08.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:02:22.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:02:34.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:02:48.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:02:58.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:03:07.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:03:08.642Z] 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. [2025-06-18T23:03:08.642Z] The best model improves the baseline by 14.52%. [2025-06-18T23:03:09.451Z] Top recommended movies for user id 72: [2025-06-18T23:03:09.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:03:09.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:03:09.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:03:09.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:03:09.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:03:09.451Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (115174.522 ms) ====== [2025-06-18T23:03:09.451Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T23:03:11.091Z] GC before operation: completed in 1031.291 ms, heap usage 259.922 MB -> 89.880 MB. [2025-06-18T23:03:27.780Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:03:46.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:04:05.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:04:24.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:04:33.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:04:41.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:04:53.712Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:05:03.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:05:05.095Z] 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. [2025-06-18T23:05:05.095Z] The best model improves the baseline by 14.52%. [2025-06-18T23:05:05.904Z] Top recommended movies for user id 72: [2025-06-18T23:05:05.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:05:05.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:05:05.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:05:05.904Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:05:05.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:05:05.904Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (115521.343 ms) ====== [2025-06-18T23:05:05.904Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T23:05:07.496Z] GC before operation: completed in 970.629 ms, heap usage 128.192 MB -> 90.635 MB. [2025-06-18T23:05:23.453Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:05:39.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:05:58.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:06:14.574Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:06:24.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:06:34.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:06:44.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:06:52.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:06:54.260Z] 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. [2025-06-18T23:06:55.003Z] The best model improves the baseline by 14.52%. [2025-06-18T23:06:55.003Z] Top recommended movies for user id 72: [2025-06-18T23:06:55.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:06:55.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:06:55.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:06:55.003Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:06:55.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:06:55.003Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (108034.945 ms) ====== [2025-06-18T23:06:55.003Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T23:06:55.766Z] GC before operation: completed in 810.471 ms, heap usage 293.180 MB -> 90.102 MB. [2025-06-18T23:07:11.827Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:07:28.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:07:48.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:08:02.463Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:08:11.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:08:21.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:08:33.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:08:42.612Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:08:43.448Z] 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. [2025-06-18T23:08:43.448Z] The best model improves the baseline by 14.52%. [2025-06-18T23:08:45.149Z] Top recommended movies for user id 72: [2025-06-18T23:08:45.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:08:45.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:08:45.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:08:45.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:08:45.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:08:45.149Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (108800.370 ms) ====== [2025-06-18T23:08:45.149Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T23:08:46.005Z] GC before operation: completed in 875.018 ms, heap usage 362.410 MB -> 90.094 MB. [2025-06-18T23:09:02.977Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:09:19.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:09:36.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:09:50.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:10:03.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:10:12.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:10:22.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:10:32.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:10:34.189Z] 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. [2025-06-18T23:10:34.189Z] The best model improves the baseline by 14.52%. [2025-06-18T23:10:34.983Z] Top recommended movies for user id 72: [2025-06-18T23:10:34.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:10:34.983Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:10:34.983Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:10:34.983Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:10:34.983Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:10:34.983Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (109111.747 ms) ====== [2025-06-18T23:10:34.983Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T23:10:35.784Z] GC before operation: completed in 831.508 ms, heap usage 281.611 MB -> 90.236 MB. [2025-06-18T23:10:52.427Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:11:09.325Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:11:23.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:11:38.145Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:11:48.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:11:57.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:12:04.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:12:13.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:12:15.623Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T23:12:16.437Z] The best model improves the baseline by 14.52%. [2025-06-18T23:12:17.247Z] Top recommended movies for user id 72: [2025-06-18T23:12:17.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:12:17.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:12:17.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:12:17.247Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:12:17.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:12:17.247Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (101305.231 ms) ====== [2025-06-18T23:12:17.247Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T23:12:18.092Z] GC before operation: completed in 965.361 ms, heap usage 721.137 MB -> 91.344 MB. [2025-06-18T23:12:34.850Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:12:51.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:13:09.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:13:21.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:13:30.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:13:38.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:13:49.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:13:57.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:13:59.464Z] 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. [2025-06-18T23:13:59.464Z] The best model improves the baseline by 14.52%. [2025-06-18T23:14:00.262Z] Top recommended movies for user id 72: [2025-06-18T23:14:00.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:14:00.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:14:00.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:14:00.262Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:14:00.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:14:00.262Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (101977.214 ms) ====== [2025-06-18T23:14:00.262Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T23:14:01.055Z] GC before operation: completed in 893.684 ms, heap usage 531.241 MB -> 90.579 MB. [2025-06-18T23:14:17.554Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:14:31.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:14:45.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:15:01.954Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:15:10.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:15:21.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:15:31.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:15:38.134Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:15:39.815Z] 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. [2025-06-18T23:15:39.815Z] The best model improves the baseline by 14.52%. [2025-06-18T23:15:40.661Z] Top recommended movies for user id 72: [2025-06-18T23:15:40.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:15:40.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:15:40.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:15:40.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:15:40.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:15:40.661Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (99925.812 ms) ====== [2025-06-18T23:15:40.661Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T23:15:41.454Z] GC before operation: completed in 742.542 ms, heap usage 241.119 MB -> 87.288 MB. [2025-06-18T23:16:00.797Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:16:14.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:16:31.655Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:16:45.856Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:16:56.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:17:04.853Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:17:13.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:17:23.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:17:24.518Z] 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. [2025-06-18T23:17:25.354Z] The best model improves the baseline by 14.52%. [2025-06-18T23:17:26.171Z] Top recommended movies for user id 72: [2025-06-18T23:17:26.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:17:26.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:17:26.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:17:26.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:17:26.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:17:26.171Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (104397.074 ms) ====== [2025-06-18T23:17:26.171Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T23:17:27.567Z] GC before operation: completed in 805.498 ms, heap usage 393.897 MB -> 90.419 MB. [2025-06-18T23:17:42.598Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:17:55.574Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:18:10.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:18:23.221Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:18:32.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:18:40.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:18:49.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:18:57.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:18:58.926Z] 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. [2025-06-18T23:18:58.926Z] The best model improves the baseline by 14.52%. [2025-06-18T23:18:59.784Z] Top recommended movies for user id 72: [2025-06-18T23:18:59.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:18:59.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:18:59.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:18:59.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:18:59.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:18:59.784Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (92962.779 ms) ====== [2025-06-18T23:18:59.784Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T23:19:00.662Z] GC before operation: completed in 668.120 ms, heap usage 427.537 MB -> 87.620 MB. [2025-06-18T23:19:15.458Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:19:30.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:19:45.859Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:20:01.434Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:20:09.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:20:18.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:20:29.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:20:38.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:20:39.917Z] 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. [2025-06-18T23:20:40.770Z] The best model improves the baseline by 14.52%. [2025-06-18T23:20:41.641Z] Top recommended movies for user id 72: [2025-06-18T23:20:41.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:20:41.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:20:41.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:20:41.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:20:41.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:20:41.641Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (101235.122 ms) ====== [2025-06-18T23:20:41.641Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T23:20:42.494Z] GC before operation: completed in 822.823 ms, heap usage 356.190 MB -> 86.719 MB. [2025-06-18T23:20:59.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:21:14.640Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:21:32.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:21:47.744Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:21:56.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:22:04.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:22:15.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:22:24.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:22:25.515Z] 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. [2025-06-18T23:22:26.365Z] The best model improves the baseline by 14.52%. [2025-06-18T23:22:27.241Z] Top recommended movies for user id 72: [2025-06-18T23:22:27.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:22:27.241Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:22:27.241Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:22:27.241Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:22:27.241Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:22:27.241Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (104971.012 ms) ====== [2025-06-18T23:22:27.241Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T23:22:30.264Z] GC before operation: completed in 830.030 ms, heap usage 282.730 MB -> 86.662 MB. [2025-06-18T23:22:45.305Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:23:00.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:23:17.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:23:31.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:23:42.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:23:50.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:24:00.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:24:10.184Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:24:12.006Z] 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. [2025-06-18T23:24:12.006Z] The best model improves the baseline by 14.52%. [2025-06-18T23:24:12.927Z] Top recommended movies for user id 72: [2025-06-18T23:24:12.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:24:12.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:24:12.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:24:12.927Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:24:12.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:24:12.927Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (104924.690 ms) ====== [2025-06-18T23:24:12.927Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T23:24:13.818Z] GC before operation: completed in 783.412 ms, heap usage 288.165 MB -> 86.464 MB. [2025-06-18T23:24:29.466Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:24:44.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:25:02.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:25:17.359Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:25:28.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:25:38.156Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:25:47.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:25:58.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:26:00.137Z] 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. [2025-06-18T23:26:00.137Z] The best model improves the baseline by 14.52%. [2025-06-18T23:26:01.021Z] Top recommended movies for user id 72: [2025-06-18T23:26:01.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:26:01.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:26:01.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:26:01.021Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:26:01.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:26:01.021Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (106784.085 ms) ====== [2025-06-18T23:26:01.021Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T23:26:01.929Z] GC before operation: completed in 828.380 ms, heap usage 277.500 MB -> 86.572 MB. [2025-06-18T23:26:19.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:26:34.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:26:47.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:26:59.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:27:10.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:27:19.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:27:30.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:27:37.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:27:41.028Z] 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. [2025-06-18T23:27:41.028Z] The best model improves the baseline by 14.52%. [2025-06-18T23:27:41.911Z] Top recommended movies for user id 72: [2025-06-18T23:27:41.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:27:41.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:27:41.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:27:41.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:27:41.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:27:41.911Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (99898.271 ms) ====== [2025-06-18T23:27:44.663Z] ----------------------------------- [2025-06-18T23:27:44.663Z] renaissance-movie-lens_0_PASSED [2025-06-18T23:27:44.663Z] ----------------------------------- [2025-06-18T23:27:44.663Z] [2025-06-18T23:27:44.663Z] TEST TEARDOWN: [2025-06-18T23:27:44.663Z] Nothing to be done for teardown. [2025-06-18T23:27:44.663Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 23:27:43 2025 Epoch Time (ms): 1750289263913