[2025-07-01T20:31:13.093Z] Running test renaissance-movie-lens_0 ... [2025-07-01T20:31:13.093Z] =============================================== [2025-07-01T20:31:13.093Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 20:31:09 2025 Epoch Time (ms): 1751401869926 [2025-07-01T20:31:13.093Z] variation: NoOptions [2025-07-01T20:31:13.093Z] JVM_OPTIONS: [2025-07-01T20:31:13.093Z] { \ [2025-07-01T20:31:13.093Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T20:31:13.093Z] echo "Nothing to be done for setup."; \ [2025-07-01T20:31:13.094Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17513947085849/renaissance-movie-lens_0"; \ [2025-07-01T20:31:13.094Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17513947085849/renaissance-movie-lens_0"; \ [2025-07-01T20:31:13.094Z] echo ""; echo "TESTING:"; \ [2025-07-01T20:31:13.094Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_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_riscv64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17513947085849/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-01T20:31:13.094Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17513947085849/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T20:31:13.094Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T20:31:13.094Z] echo "Nothing to be done for teardown."; \ [2025-07-01T20:31:13.094Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17513947085849/TestTargetResult"; [2025-07-01T20:31:13.094Z] [2025-07-01T20:31:13.094Z] TEST SETUP: [2025-07-01T20:31:13.094Z] Nothing to be done for setup. [2025-07-01T20:31:13.094Z] [2025-07-01T20:31:13.094Z] TESTING: [2025-07-01T20:31:36.106Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-01T20:32:09.498Z] 20:32:05.396 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. [2025-07-01T20:32:16.772Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T20:32:19.017Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T20:32:19.017Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T20:32:19.344Z] GC before operation: completed in 598.768 ms, heap usage 381.338 MB -> 76.267 MB. [2025-07-01T20:32:47.075Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:33:06.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:33:19.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:33:32.451Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:33:41.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:33:50.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:33:57.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:34:03.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:34:05.216Z] 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. [2025-07-01T20:34:05.542Z] The best model improves the baseline by 14.52%. [2025-07-01T20:34:06.688Z] Top recommended movies for user id 72: [2025-07-01T20:34:06.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:34:06.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:34:06.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:34:06.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:34:06.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:34:06.688Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (107117.268 ms) ====== [2025-07-01T20:34:06.688Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T20:34:07.410Z] GC before operation: completed in 892.833 ms, heap usage 143.519 MB -> 86.690 MB. [2025-07-01T20:34:20.505Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:34:33.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:34:44.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:34:53.364Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:35:00.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:35:07.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:35:13.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:35:21.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:35:21.703Z] 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. [2025-07-01T20:35:21.703Z] The best model improves the baseline by 14.52%. [2025-07-01T20:35:22.858Z] Top recommended movies for user id 72: [2025-07-01T20:35:22.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:35:22.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:35:22.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:35:22.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:35:22.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:35:22.858Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (75149.205 ms) ====== [2025-07-01T20:35:22.858Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T20:35:23.582Z] GC before operation: completed in 899.738 ms, heap usage 232.730 MB -> 88.914 MB. [2025-07-01T20:35:34.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:35:45.267Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:35:56.064Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:36:04.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:36:10.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:36:16.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:36:22.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:36:27.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:36:29.078Z] 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. [2025-07-01T20:36:29.078Z] The best model improves the baseline by 14.52%. [2025-07-01T20:36:29.783Z] Top recommended movies for user id 72: [2025-07-01T20:36:29.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:36:29.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:36:29.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:36:29.783Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:36:29.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:36:29.783Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (66167.192 ms) ====== [2025-07-01T20:36:29.783Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T20:36:30.939Z] GC before operation: completed in 996.587 ms, heap usage 264.708 MB -> 89.682 MB. [2025-07-01T20:36:41.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:36:48.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:36:59.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:37:08.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:37:13.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:37:19.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:37:24.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:37:30.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:37:31.014Z] 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. [2025-07-01T20:37:31.349Z] The best model improves the baseline by 14.52%. [2025-07-01T20:37:32.185Z] Top recommended movies for user id 72: [2025-07-01T20:37:32.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:37:32.185Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:37:32.185Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:37:32.185Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:37:32.185Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:37:32.185Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (61571.819 ms) ====== [2025-07-01T20:37:32.185Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T20:37:33.355Z] GC before operation: completed in 1028.680 ms, heap usage 236.494 MB -> 89.939 MB. [2025-07-01T20:37:44.162Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:37:53.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:38:03.811Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:38:11.040Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:38:18.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:38:23.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:38:28.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:38:34.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:38:35.189Z] 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. [2025-07-01T20:38:35.189Z] The best model improves the baseline by 14.52%. [2025-07-01T20:38:35.891Z] Top recommended movies for user id 72: [2025-07-01T20:38:35.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:38:35.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:38:35.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:38:35.891Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:38:35.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:38:35.891Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (62651.915 ms) ====== [2025-07-01T20:38:35.891Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T20:38:37.068Z] GC before operation: completed in 1056.916 ms, heap usage 645.136 MB -> 93.642 MB. [2025-07-01T20:38:47.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:38:55.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:39:04.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:39:13.005Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:39:18.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:39:23.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:39:29.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:39:35.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:39:35.472Z] 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. [2025-07-01T20:39:35.804Z] The best model improves the baseline by 14.52%. [2025-07-01T20:39:36.512Z] Top recommended movies for user id 72: [2025-07-01T20:39:36.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:39:36.512Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:39:36.512Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:39:36.512Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:39:36.512Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:39:36.512Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (59372.236 ms) ====== [2025-07-01T20:39:36.512Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T20:39:37.678Z] GC before operation: completed in 1008.949 ms, heap usage 282.560 MB -> 90.314 MB. [2025-07-01T20:39:46.554Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:39:55.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:40:06.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:40:15.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:40:19.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:40:25.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:40:31.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:40:37.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:40:37.928Z] 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. [2025-07-01T20:40:38.252Z] The best model improves the baseline by 14.52%. [2025-07-01T20:40:38.969Z] Top recommended movies for user id 72: [2025-07-01T20:40:38.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:40:38.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:40:38.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:40:38.969Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:40:38.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:40:38.969Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (61339.183 ms) ====== [2025-07-01T20:40:38.969Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T20:40:39.700Z] GC before operation: completed in 978.421 ms, heap usage 555.730 MB -> 90.629 MB. [2025-07-01T20:40:50.565Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:40:59.519Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:41:08.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:41:17.244Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:41:23.125Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:41:29.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:41:34.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:41:40.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:41:41.518Z] 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. [2025-07-01T20:41:41.518Z] The best model improves the baseline by 14.52%. [2025-07-01T20:41:42.217Z] Top recommended movies for user id 72: [2025-07-01T20:41:42.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:41:42.217Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:41:42.217Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:41:42.217Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:41:42.217Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:41:42.217Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (62514.223 ms) ====== [2025-07-01T20:41:42.217Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T20:41:43.392Z] GC before operation: completed in 953.277 ms, heap usage 436.798 MB -> 90.707 MB. [2025-07-01T20:41:52.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:42:01.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:42:10.041Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:42:17.313Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:42:22.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:42:28.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:42:33.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:42:38.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:42:38.961Z] 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. [2025-07-01T20:42:38.961Z] The best model improves the baseline by 14.52%. [2025-07-01T20:42:39.670Z] Top recommended movies for user id 72: [2025-07-01T20:42:39.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:42:39.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:42:39.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:42:39.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:42:39.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:42:39.670Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (56577.533 ms) ====== [2025-07-01T20:42:39.670Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T20:42:40.848Z] GC before operation: completed in 994.907 ms, heap usage 564.902 MB -> 93.982 MB. [2025-07-01T20:42:51.642Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:42:58.947Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:43:07.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:43:16.859Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:43:21.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:43:26.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:43:32.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:43:36.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:43:37.301Z] 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. [2025-07-01T20:43:37.630Z] The best model improves the baseline by 14.52%. [2025-07-01T20:43:38.345Z] Top recommended movies for user id 72: [2025-07-01T20:43:38.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:43:38.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:43:38.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:43:38.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:43:38.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:43:38.345Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (57387.734 ms) ====== [2025-07-01T20:43:38.345Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T20:43:39.077Z] GC before operation: completed in 966.855 ms, heap usage 642.946 MB -> 94.403 MB. [2025-07-01T20:43:47.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:43:56.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:44:05.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:44:12.981Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:44:17.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:44:23.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:44:28.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:44:34.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:44:34.242Z] 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. [2025-07-01T20:44:34.242Z] The best model improves the baseline by 14.52%. [2025-07-01T20:44:35.381Z] Top recommended movies for user id 72: [2025-07-01T20:44:35.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:44:35.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:44:35.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:44:35.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:44:35.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:44:35.381Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55988.720 ms) ====== [2025-07-01T20:44:35.381Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T20:44:36.103Z] GC before operation: completed in 996.673 ms, heap usage 781.452 MB -> 94.210 MB. [2025-07-01T20:44:44.961Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:44:53.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:45:01.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:45:09.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:45:13.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:45:19.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:45:24.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:45:29.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:45:30.286Z] 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. [2025-07-01T20:45:30.286Z] The best model improves the baseline by 14.52%. [2025-07-01T20:45:30.984Z] Top recommended movies for user id 72: [2025-07-01T20:45:30.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:45:30.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:45:30.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:45:30.984Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:45:30.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:45:30.984Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54857.433 ms) ====== [2025-07-01T20:45:30.984Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T20:45:32.138Z] GC before operation: completed in 977.622 ms, heap usage 272.358 MB -> 90.694 MB. [2025-07-01T20:45:40.999Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:45:49.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:45:58.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:46:06.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:46:11.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:46:16.641Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:46:22.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:46:27.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:46:27.964Z] 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. [2025-07-01T20:46:27.964Z] The best model improves the baseline by 14.52%. [2025-07-01T20:46:28.685Z] Top recommended movies for user id 72: [2025-07-01T20:46:28.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:46:28.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:46:28.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:46:28.685Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:46:28.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:46:28.685Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (56887.605 ms) ====== [2025-07-01T20:46:28.686Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T20:46:29.965Z] GC before operation: completed in 962.886 ms, heap usage 213.155 MB -> 90.589 MB. [2025-07-01T20:46:38.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:46:47.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:46:56.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:47:03.821Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:47:08.549Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:47:14.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:47:19.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:47:24.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:47:24.726Z] 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. [2025-07-01T20:47:24.726Z] The best model improves the baseline by 14.52%. [2025-07-01T20:47:25.428Z] Top recommended movies for user id 72: [2025-07-01T20:47:25.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:47:25.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:47:25.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:47:25.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:47:25.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:47:25.428Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55646.149 ms) ====== [2025-07-01T20:47:25.428Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T20:47:26.583Z] GC before operation: completed in 1012.604 ms, heap usage 566.524 MB -> 94.097 MB. [2025-07-01T20:47:35.449Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:47:44.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:47:51.580Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:48:00.435Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:48:05.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:48:09.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:48:14.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:48:20.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:48:20.549Z] 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. [2025-07-01T20:48:20.875Z] The best model improves the baseline by 14.52%. [2025-07-01T20:48:21.203Z] Top recommended movies for user id 72: [2025-07-01T20:48:21.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:48:21.203Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:48:21.203Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:48:21.203Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:48:21.203Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:48:21.203Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54895.996 ms) ====== [2025-07-01T20:48:21.203Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T20:48:22.365Z] GC before operation: completed in 977.353 ms, heap usage 309.075 MB -> 90.866 MB. [2025-07-01T20:48:31.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:48:40.526Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:48:47.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:48:56.631Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:49:01.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:49:06.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:49:12.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:49:16.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:49:18.050Z] 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. [2025-07-01T20:49:18.050Z] The best model improves the baseline by 14.52%. [2025-07-01T20:49:18.756Z] Top recommended movies for user id 72: [2025-07-01T20:49:18.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:49:18.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:49:18.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:49:18.756Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:49:18.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:49:18.756Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (56243.033 ms) ====== [2025-07-01T20:49:18.756Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T20:49:19.469Z] GC before operation: completed in 1019.846 ms, heap usage 946.030 MB -> 95.169 MB. [2025-07-01T20:49:28.386Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:49:37.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:49:46.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:49:55.065Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:49:59.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:50:05.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:50:11.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:50:16.333Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:50:17.036Z] 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. [2025-07-01T20:50:17.036Z] The best model improves the baseline by 14.52%. [2025-07-01T20:50:17.742Z] Top recommended movies for user id 72: [2025-07-01T20:50:17.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:50:17.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:50:17.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:50:17.742Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:50:17.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:50:17.742Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (58300.302 ms) ====== [2025-07-01T20:50:17.742Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T20:50:18.916Z] GC before operation: completed in 951.223 ms, heap usage 248.539 MB -> 90.692 MB. [2025-07-01T20:50:27.926Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:50:36.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:50:45.708Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:50:54.573Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:51:00.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:51:06.362Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:51:12.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:51:16.975Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:51:18.121Z] 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. [2025-07-01T20:51:18.448Z] The best model improves the baseline by 14.52%. [2025-07-01T20:51:19.156Z] Top recommended movies for user id 72: [2025-07-01T20:51:19.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:51:19.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:51:19.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:51:19.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:51:19.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:51:19.156Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (60206.574 ms) ====== [2025-07-01T20:51:19.156Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T20:51:19.882Z] GC before operation: completed in 953.505 ms, heap usage 156.422 MB -> 90.418 MB. [2025-07-01T20:51:28.748Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:51:37.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:51:46.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:51:53.847Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:51:58.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:52:03.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:52:08.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:52:13.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:52:13.927Z] 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. [2025-07-01T20:52:14.253Z] The best model improves the baseline by 14.52%. [2025-07-01T20:52:14.954Z] Top recommended movies for user id 72: [2025-07-01T20:52:14.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:52:14.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:52:14.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:52:14.954Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:52:14.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:52:14.954Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (54810.265 ms) ====== [2025-07-01T20:52:14.954Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T20:52:15.666Z] GC before operation: completed in 991.227 ms, heap usage 455.075 MB -> 90.990 MB. [2025-07-01T20:52:24.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T20:52:33.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T20:52:40.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T20:52:49.892Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T20:52:53.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T20:52:59.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T20:53:04.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T20:53:09.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T20:53:09.730Z] 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. [2025-07-01T20:53:10.056Z] The best model improves the baseline by 14.52%. [2025-07-01T20:53:10.761Z] Top recommended movies for user id 72: [2025-07-01T20:53:10.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T20:53:10.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T20:53:10.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T20:53:10.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T20:53:10.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T20:53:10.761Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (54747.567 ms) ====== [2025-07-01T20:53:14.516Z] ----------------------------------- [2025-07-01T20:53:14.517Z] renaissance-movie-lens_0_PASSED [2025-07-01T20:53:14.517Z] ----------------------------------- [2025-07-01T20:53:14.517Z] [2025-07-01T20:53:14.517Z] TEST TEARDOWN: [2025-07-01T20:53:14.517Z] Nothing to be done for teardown. [2025-07-01T20:53:14.517Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 20:53:13 2025 Epoch Time (ms): 1751403193785