[2025-06-19T00:45:32.426Z] Running test renaissance-movie-lens_0 ... [2025-06-19T00:45:32.426Z] =============================================== [2025-06-19T00:45:32.426Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 00:45:32 2025 Epoch Time (ms): 1750293932253 [2025-06-19T00:45:32.426Z] variation: NoOptions [2025-06-19T00:45:32.426Z] JVM_OPTIONS: [2025-06-19T00:45:32.426Z] { \ [2025-06-19T00:45:32.426Z] echo ""; echo "TEST SETUP:"; \ [2025-06-19T00:45:32.426Z] echo "Nothing to be done for setup."; \ [2025-06-19T00:45:32.426Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_1750289400253/renaissance-movie-lens_0"; \ [2025-06-19T00:45:32.426Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_1750289400253/renaissance-movie-lens_0"; \ [2025-06-19T00:45:32.426Z] echo ""; echo "TESTING:"; \ [2025-06-19T00:45:32.426Z] "/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_1750289400253/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-19T00:45:32.426Z] 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_1750289400253/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-19T00:45:32.426Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-19T00:45:32.426Z] echo "Nothing to be done for teardown."; \ [2025-06-19T00:45:32.426Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_1750289400253/TestTargetResult"; [2025-06-19T00:45:32.426Z] [2025-06-19T00:45:32.426Z] TEST SETUP: [2025-06-19T00:45:32.426Z] Nothing to be done for setup. [2025-06-19T00:45:32.426Z] [2025-06-19T00:45:32.426Z] TESTING: [2025-06-19T00:45:55.408Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-19T00:46:28.698Z] 00:46:27.893 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-19T00:46:39.472Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-19T00:46:41.732Z] Training: 60056, validation: 20285, test: 19854 [2025-06-19T00:46:41.732Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-19T00:46:42.441Z] GC before operation: completed in 616.031 ms, heap usage 371.961 MB -> 76.381 MB. [2025-06-19T00:47:10.206Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:47:26.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:47:39.150Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:47:52.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:48:01.124Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:48:10.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:48:15.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:48:23.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:48:23.473Z] 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. [2025-06-19T00:48:23.798Z] The best model improves the baseline by 14.52%. [2025-06-19T00:48:24.947Z] Top recommended movies for user id 72: [2025-06-19T00:48:24.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:48:24.948Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:48:24.948Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:48:24.948Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:48:24.948Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:48:24.948Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (102378.223 ms) ====== [2025-06-19T00:48:24.948Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-19T00:48:25.678Z] GC before operation: completed in 1119.959 ms, heap usage 378.004 MB -> 90.995 MB. [2025-06-19T00:48:38.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:48:47.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:48:58.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:49:09.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:49:16.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:49:22.644Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:49:28.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:49:34.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:49:35.096Z] 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. [2025-06-19T00:49:35.421Z] The best model improves the baseline by 14.52%. [2025-06-19T00:49:36.120Z] Top recommended movies for user id 72: [2025-06-19T00:49:36.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:49:36.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:49:36.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:49:36.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:49:36.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:49:36.120Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (70353.669 ms) ====== [2025-06-19T00:49:36.120Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-19T00:49:37.288Z] GC before operation: completed in 1147.717 ms, heap usage 280.324 MB -> 89.377 MB. [2025-06-19T00:49:48.100Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:49:58.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:50:07.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:50:16.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:50:22.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:50:28.432Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:50:34.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:50:40.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:50:40.922Z] 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. [2025-06-19T00:50:41.265Z] The best model improves the baseline by 14.52%. [2025-06-19T00:50:41.986Z] Top recommended movies for user id 72: [2025-06-19T00:50:41.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:50:41.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:50:41.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:50:41.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:50:41.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:50:41.986Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (64806.354 ms) ====== [2025-06-19T00:50:41.986Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-19T00:50:43.150Z] GC before operation: completed in 1022.256 ms, heap usage 285.220 MB -> 90.002 MB. [2025-06-19T00:50:53.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:51:04.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:51:13.573Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:51:23.245Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:51:29.276Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:51:35.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:51:42.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:51:48.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:51:49.377Z] 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. [2025-06-19T00:51:49.377Z] The best model improves the baseline by 14.52%. [2025-06-19T00:51:50.083Z] Top recommended movies for user id 72: [2025-06-19T00:51:50.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:51:50.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:51:50.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:51:50.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:51:50.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:51:50.083Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (66820.575 ms) ====== [2025-06-19T00:51:50.083Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-19T00:51:50.807Z] GC before operation: completed in 836.601 ms, heap usage 390.072 MB -> 90.330 MB. [2025-06-19T00:52:01.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:52:10.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:52:21.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:52:30.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:52:37.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:52:43.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:52:49.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:52:54.077Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:52:55.718Z] 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. [2025-06-19T00:52:55.718Z] The best model improves the baseline by 14.52%. [2025-06-19T00:52:56.418Z] Top recommended movies for user id 72: [2025-06-19T00:52:56.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:52:56.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:52:56.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:52:56.418Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:52:56.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:52:56.418Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (65536.576 ms) ====== [2025-06-19T00:52:56.418Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-19T00:52:57.117Z] GC before operation: completed in 875.799 ms, heap usage 114.070 MB -> 90.003 MB. [2025-06-19T00:53:07.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:53:16.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:53:25.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:53:34.599Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:53:40.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:53:45.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:53:51.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:53:55.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:53:56.519Z] 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. [2025-06-19T00:53:56.519Z] The best model improves the baseline by 14.52%. [2025-06-19T00:53:57.225Z] Top recommended movies for user id 72: [2025-06-19T00:53:57.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:53:57.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:53:57.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:53:57.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:53:57.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:53:57.225Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (59972.743 ms) ====== [2025-06-19T00:53:57.225Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-19T00:53:57.955Z] GC before operation: completed in 897.640 ms, heap usage 749.521 MB -> 94.368 MB. [2025-06-19T00:54:07.674Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:54:16.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:54:25.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:54:34.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:54:39.053Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:54:44.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:54:49.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:54:54.456Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:54:55.589Z] 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. [2025-06-19T00:54:55.589Z] The best model improves the baseline by 14.52%. [2025-06-19T00:54:56.292Z] Top recommended movies for user id 72: [2025-06-19T00:54:56.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:54:56.292Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:54:56.292Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:54:56.292Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:54:56.292Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:54:56.292Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (58182.153 ms) ====== [2025-06-19T00:54:56.292Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-19T00:54:57.062Z] GC before operation: completed in 861.968 ms, heap usage 168.603 MB -> 90.392 MB. [2025-06-19T00:55:05.913Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:55:14.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:55:23.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:55:30.849Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:55:35.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:55:41.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:55:46.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:55:51.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:55:52.314Z] 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. [2025-06-19T00:55:52.314Z] The best model improves the baseline by 14.52%. [2025-06-19T00:55:53.016Z] Top recommended movies for user id 72: [2025-06-19T00:55:53.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:55:53.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:55:53.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:55:53.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:55:53.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:55:53.016Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55850.145 ms) ====== [2025-06-19T00:55:53.016Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-19T00:55:53.732Z] GC before operation: completed in 859.923 ms, heap usage 178.941 MB -> 90.662 MB. [2025-06-19T00:56:04.504Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:56:11.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:56:20.591Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:56:27.873Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:56:32.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:56:38.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:56:43.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:56:48.124Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:56:48.828Z] 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. [2025-06-19T00:56:49.154Z] The best model improves the baseline by 14.52%. [2025-06-19T00:56:49.854Z] Top recommended movies for user id 72: [2025-06-19T00:56:49.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:56:49.854Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:56:49.854Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:56:49.854Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:56:49.854Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:56:49.854Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55991.846 ms) ====== [2025-06-19T00:56:49.854Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-19T00:56:50.575Z] GC before operation: completed in 870.454 ms, heap usage 252.986 MB -> 90.625 MB. [2025-06-19T00:56:59.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:57:08.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:57:17.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:57:24.399Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:57:29.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:57:33.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:57:39.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:57:44.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:57:44.851Z] 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. [2025-06-19T00:57:44.851Z] The best model improves the baseline by 14.52%. [2025-06-19T00:57:45.550Z] Top recommended movies for user id 72: [2025-06-19T00:57:45.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:57:45.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:57:45.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:57:45.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:57:45.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:57:45.550Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54827.782 ms) ====== [2025-06-19T00:57:45.550Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-19T00:57:46.712Z] GC before operation: completed in 892.604 ms, heap usage 751.892 MB -> 94.544 MB. [2025-06-19T00:57:55.588Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:58:02.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:58:11.691Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:58:20.536Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:58:24.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:58:30.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:58:34.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:58:40.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:58:40.807Z] 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. [2025-06-19T00:58:40.807Z] The best model improves the baseline by 14.52%. [2025-06-19T00:58:41.511Z] Top recommended movies for user id 72: [2025-06-19T00:58:41.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:58:41.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:58:41.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:58:41.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:58:41.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:58:41.511Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55208.759 ms) ====== [2025-06-19T00:58:41.511Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-19T00:58:42.706Z] GC before operation: completed in 880.208 ms, heap usage 220.180 MB -> 90.313 MB. [2025-06-19T00:58:51.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T00:59:00.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T00:59:09.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T00:59:18.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T00:59:22.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T00:59:28.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T00:59:34.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T00:59:39.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T00:59:40.664Z] 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. [2025-06-19T00:59:40.664Z] The best model improves the baseline by 14.52%. [2025-06-19T00:59:41.370Z] Top recommended movies for user id 72: [2025-06-19T00:59:41.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T00:59:41.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T00:59:41.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T00:59:41.370Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T00:59:41.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T00:59:41.370Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (58661.693 ms) ====== [2025-06-19T00:59:41.370Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-19T00:59:42.083Z] GC before operation: completed in 856.956 ms, heap usage 310.068 MB -> 90.740 MB. [2025-06-19T00:59:52.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T01:00:00.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T01:00:11.158Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T01:00:20.036Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T01:00:26.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T01:00:31.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T01:00:37.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T01:00:43.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T01:00:43.644Z] 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. [2025-06-19T01:00:43.644Z] The best model improves the baseline by 14.52%. [2025-06-19T01:00:44.807Z] Top recommended movies for user id 72: [2025-06-19T01:00:44.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T01:00:44.807Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T01:00:44.807Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T01:00:44.807Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T01:00:44.807Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T01:00:44.807Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (62579.395 ms) ====== [2025-06-19T01:00:44.807Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-19T01:00:45.530Z] GC before operation: completed in 860.163 ms, heap usage 205.713 MB -> 90.651 MB. [2025-06-19T01:00:56.312Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T01:01:05.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T01:01:14.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T01:01:21.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T01:01:27.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T01:01:33.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T01:01:38.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T01:01:43.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T01:01:45.054Z] 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. [2025-06-19T01:01:45.054Z] The best model improves the baseline by 14.52%. [2025-06-19T01:01:45.752Z] Top recommended movies for user id 72: [2025-06-19T01:01:45.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T01:01:45.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T01:01:45.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T01:01:45.752Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T01:01:45.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T01:01:45.752Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (60331.172 ms) ====== [2025-06-19T01:01:45.752Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-19T01:01:46.892Z] GC before operation: completed in 882.806 ms, heap usage 108.609 MB -> 92.612 MB. [2025-06-19T01:01:55.749Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T01:02:04.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T01:02:13.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T01:02:20.679Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T01:02:25.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T01:02:30.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T01:02:34.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T01:02:40.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T01:02:40.783Z] 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. [2025-06-19T01:02:41.109Z] The best model improves the baseline by 14.52%. [2025-06-19T01:02:41.824Z] Top recommended movies for user id 72: [2025-06-19T01:02:41.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T01:02:41.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T01:02:41.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T01:02:41.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T01:02:41.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T01:02:41.824Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54897.315 ms) ====== [2025-06-19T01:02:41.824Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-19T01:02:42.550Z] GC before operation: completed in 879.757 ms, heap usage 265.800 MB -> 90.868 MB. [2025-06-19T01:02:51.401Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T01:03:00.258Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T01:03:09.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T01:03:16.500Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T01:03:22.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T01:03:28.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T01:03:34.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T01:03:38.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T01:03:40.128Z] 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. [2025-06-19T01:03:40.466Z] The best model improves the baseline by 14.52%. [2025-06-19T01:03:41.173Z] Top recommended movies for user id 72: [2025-06-19T01:03:41.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T01:03:41.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T01:03:41.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T01:03:41.173Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T01:03:41.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T01:03:41.173Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (58502.393 ms) ====== [2025-06-19T01:03:41.173Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-19T01:03:41.888Z] GC before operation: completed in 876.299 ms, heap usage 307.923 MB -> 90.823 MB. [2025-06-19T01:03:50.736Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T01:03:59.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T01:04:08.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T01:04:17.315Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T01:04:22.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T01:04:28.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T01:04:32.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T01:04:38.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T01:04:39.358Z] 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. [2025-06-19T01:04:39.358Z] The best model improves the baseline by 14.52%. [2025-06-19T01:04:40.057Z] Top recommended movies for user id 72: [2025-06-19T01:04:40.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T01:04:40.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T01:04:40.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T01:04:40.057Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T01:04:40.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T01:04:40.057Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (58213.886 ms) ====== [2025-06-19T01:04:40.057Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-19T01:04:41.209Z] GC before operation: completed in 875.363 ms, heap usage 664.368 MB -> 94.475 MB. [2025-06-19T01:04:50.060Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T01:04:59.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T01:05:07.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T01:05:15.196Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T01:05:19.925Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T01:05:25.802Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T01:05:30.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T01:05:35.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T01:05:35.938Z] 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. [2025-06-19T01:05:35.938Z] The best model improves the baseline by 14.52%. [2025-06-19T01:05:36.676Z] Top recommended movies for user id 72: [2025-06-19T01:05:36.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T01:05:36.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T01:05:36.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T01:05:36.676Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T01:05:36.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T01:05:36.676Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (55687.958 ms) ====== [2025-06-19T01:05:36.676Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-19T01:05:37.828Z] GC before operation: completed in 941.585 ms, heap usage 452.250 MB -> 90.892 MB. [2025-06-19T01:05:46.705Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T01:05:53.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T01:06:02.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T01:06:11.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T01:06:17.600Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T01:06:23.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T01:06:29.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T01:06:34.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T01:06:35.279Z] 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. [2025-06-19T01:06:35.607Z] The best model improves the baseline by 14.52%. [2025-06-19T01:06:36.307Z] Top recommended movies for user id 72: [2025-06-19T01:06:36.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T01:06:36.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T01:06:36.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T01:06:36.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T01:06:36.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T01:06:36.307Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (58722.812 ms) ====== [2025-06-19T01:06:36.307Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-19T01:06:37.464Z] GC before operation: completed in 874.756 ms, heap usage 289.470 MB -> 90.880 MB. [2025-06-19T01:06:46.337Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T01:06:55.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T01:07:04.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T01:07:12.964Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T01:07:17.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T01:07:23.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T01:07:28.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T01:07:33.139Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T01:07:34.286Z] 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. [2025-06-19T01:07:34.286Z] The best model improves the baseline by 14.52%. [2025-06-19T01:07:34.993Z] Top recommended movies for user id 72: [2025-06-19T01:07:34.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T01:07:34.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T01:07:34.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T01:07:34.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T01:07:34.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T01:07:34.993Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (57838.009 ms) ====== [2025-06-19T01:07:38.798Z] ----------------------------------- [2025-06-19T01:07:38.798Z] renaissance-movie-lens_0_PASSED [2025-06-19T01:07:38.798Z] ----------------------------------- [2025-06-19T01:07:38.798Z] [2025-06-19T01:07:38.798Z] TEST TEARDOWN: [2025-06-19T01:07:38.798Z] Nothing to be done for teardown. [2025-06-19T01:07:38.798Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 01:07:38 2025 Epoch Time (ms): 1750295258760