[2025-03-31T01:55:03.833Z] Running test renaissance-movie-lens_0 ... [2025-03-31T01:55:03.833Z] =============================================== [2025-03-31T01:55:03.833Z] renaissance-movie-lens_0 Start Time: Mon Mar 31 01:55:03 2025 Epoch Time (ms): 1743386103588 [2025-03-31T01:55:03.833Z] variation: NoOptions [2025-03-31T01:55:03.833Z] JVM_OPTIONS: [2025-03-31T01:55:03.833Z] { \ [2025-03-31T01:55:03.833Z] echo ""; echo "TEST SETUP:"; \ [2025-03-31T01:55:03.833Z] echo "Nothing to be done for setup."; \ [2025-03-31T01:55:03.833Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17433861035389/renaissance-movie-lens_0"; \ [2025-03-31T01:55:03.833Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17433861035389/renaissance-movie-lens_0"; \ [2025-03-31T01:55:03.833Z] echo ""; echo "TESTING:"; \ [2025-03-31T01:55:03.833Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_rerun/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_openjdk11_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17433861035389/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-03-31T01:55:03.833Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17433861035389/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-03-31T01:55:03.833Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-03-31T01:55:03.833Z] echo "Nothing to be done for teardown."; \ [2025-03-31T01:55:03.833Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17433861035389/TestTargetResult"; [2025-03-31T01:55:03.833Z] [2025-03-31T01:55:03.833Z] TEST SETUP: [2025-03-31T01:55:03.833Z] Nothing to be done for setup. [2025-03-31T01:55:03.833Z] [2025-03-31T01:55:03.833Z] TESTING: [2025-03-31T01:55:12.362Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-03-31T01:55:24.242Z] 01:55:22.963 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-03-31T01:55:27.756Z] Got 100004 ratings from 671 users on 9066 movies. [2025-03-31T01:55:28.556Z] Training: 60056, validation: 20285, test: 19854 [2025-03-31T01:55:28.556Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-03-31T01:55:29.348Z] GC before operation: completed in 289.521 ms, heap usage 185.854 MB -> 74.404 MB. [2025-03-31T01:55:43.961Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:55:54.110Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:56:02.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:56:09.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:56:14.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:56:18.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:56:24.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:56:30.465Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:56:31.256Z] 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. [2025-03-31T01:56:32.131Z] The best model improves the baseline by 14.52%. [2025-03-31T01:56:32.131Z] Top recommended movies for user id 72: [2025-03-31T01:56:32.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:56:32.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:56:32.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:56:32.131Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:56:32.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:56:32.131Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63054.658 ms) ====== [2025-03-31T01:56:32.131Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-03-31T01:56:33.452Z] GC before operation: completed in 444.836 ms, heap usage 232.519 MB -> 88.888 MB. [2025-03-31T01:56:41.978Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:56:50.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:56:59.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:57:07.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:57:13.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:57:19.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:57:24.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:57:30.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:57:30.736Z] 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. [2025-03-31T01:57:30.736Z] The best model improves the baseline by 14.52%. [2025-03-31T01:57:31.532Z] Top recommended movies for user id 72: [2025-03-31T01:57:31.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:57:31.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:57:31.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:57:31.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:57:31.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:57:31.532Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (58605.195 ms) ====== [2025-03-31T01:57:31.532Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-03-31T01:57:31.532Z] GC before operation: completed in 478.360 ms, heap usage 325.114 MB -> 87.589 MB. [2025-03-31T01:57:42.205Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:57:49.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:57:56.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:58:03.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:58:07.006Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:58:11.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:58:15.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:58:18.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:58:18.640Z] 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. [2025-03-31T01:58:18.640Z] The best model improves the baseline by 14.52%. [2025-03-31T01:58:19.433Z] Top recommended movies for user id 72: [2025-03-31T01:58:19.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:58:19.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:58:19.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:58:19.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:58:19.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:58:19.433Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (47577.024 ms) ====== [2025-03-31T01:58:19.433Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-03-31T01:58:19.433Z] GC before operation: completed in 227.084 ms, heap usage 96.603 MB -> 87.819 MB. [2025-03-31T01:58:23.990Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:58:29.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:58:32.657Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:58:36.154Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:58:38.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:58:40.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:58:42.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:58:45.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:58:45.392Z] 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. [2025-03-31T01:58:45.392Z] The best model improves the baseline by 14.52%. [2025-03-31T01:58:45.392Z] Top recommended movies for user id 72: [2025-03-31T01:58:45.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:58:45.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:58:45.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:58:45.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:58:45.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:58:45.392Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26289.258 ms) ====== [2025-03-31T01:58:45.392Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-03-31T01:58:46.177Z] GC before operation: completed in 173.458 ms, heap usage 160.642 MB -> 88.295 MB. [2025-03-31T01:58:49.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:58:53.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:58:57.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:59:01.247Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:59:03.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:59:06.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:59:08.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:59:11.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:59:12.310Z] 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. [2025-03-31T01:59:12.310Z] The best model improves the baseline by 14.52%. [2025-03-31T01:59:12.310Z] Top recommended movies for user id 72: [2025-03-31T01:59:12.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:59:12.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:59:12.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:59:12.310Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:59:12.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:59:12.310Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26316.684 ms) ====== [2025-03-31T01:59:12.310Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-03-31T01:59:12.310Z] GC before operation: completed in 157.825 ms, heap usage 284.665 MB -> 88.431 MB. [2025-03-31T01:59:15.816Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:59:19.316Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:59:23.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:59:26.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:59:27.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:59:30.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:59:32.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:59:34.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:59:35.091Z] 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. [2025-03-31T01:59:35.091Z] The best model improves the baseline by 14.52%. [2025-03-31T01:59:35.091Z] Top recommended movies for user id 72: [2025-03-31T01:59:35.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:59:35.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:59:35.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:59:35.091Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:59:35.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:59:35.091Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22752.159 ms) ====== [2025-03-31T01:59:35.091Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-03-31T01:59:35.091Z] GC before operation: completed in 175.029 ms, heap usage 178.096 MB -> 88.625 MB. [2025-03-31T01:59:38.439Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:59:41.793Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:59:46.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:59:48.575Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:59:50.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:59:53.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:59:54.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:59:57.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:59:57.387Z] 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. [2025-03-31T01:59:57.387Z] The best model improves the baseline by 14.52%. [2025-03-31T01:59:58.135Z] Top recommended movies for user id 72: [2025-03-31T01:59:58.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:59:58.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:59:58.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:59:58.135Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:59:58.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:59:58.135Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22572.941 ms) ====== [2025-03-31T01:59:58.135Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-03-31T01:59:58.135Z] GC before operation: completed in 166.751 ms, heap usage 261.872 MB -> 88.651 MB. [2025-03-31T02:00:01.492Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:00:04.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:00:08.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:00:11.951Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:00:13.508Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:00:15.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:00:17.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:00:19.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:00:19.022Z] 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. [2025-03-31T02:00:19.022Z] The best model improves the baseline by 14.52%. [2025-03-31T02:00:19.779Z] Top recommended movies for user id 72: [2025-03-31T02:00:19.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:00:19.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:00:19.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:00:19.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:00:19.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:00:19.779Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21610.018 ms) ====== [2025-03-31T02:00:19.779Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-03-31T02:00:19.779Z] GC before operation: completed in 229.951 ms, heap usage 161.480 MB -> 88.761 MB. [2025-03-31T02:00:24.167Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:00:28.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:00:32.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:00:36.293Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:00:38.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:00:41.125Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:00:43.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:00:45.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:00:45.967Z] 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. [2025-03-31T02:00:45.967Z] The best model improves the baseline by 14.52%. [2025-03-31T02:00:46.718Z] Top recommended movies for user id 72: [2025-03-31T02:00:46.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:00:46.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:00:46.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:00:46.718Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:00:46.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:00:46.718Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26518.907 ms) ====== [2025-03-31T02:00:46.718Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-03-31T02:00:46.718Z] GC before operation: completed in 199.336 ms, heap usage 210.541 MB -> 88.593 MB. [2025-03-31T02:00:50.069Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:00:54.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:00:58.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:01:03.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:01:05.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:01:08.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:01:12.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:01:16.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:01:16.472Z] 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. [2025-03-31T02:01:16.472Z] The best model improves the baseline by 14.52%. [2025-03-31T02:01:16.472Z] Top recommended movies for user id 72: [2025-03-31T02:01:16.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:01:16.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:01:16.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:01:16.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:01:16.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:01:16.472Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30029.812 ms) ====== [2025-03-31T02:01:16.472Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-03-31T02:01:17.224Z] GC before operation: completed in 306.495 ms, heap usage 267.688 MB -> 88.906 MB. [2025-03-31T02:01:22.728Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:01:27.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:01:32.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:01:39.500Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:01:42.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:01:47.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:01:50.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:01:54.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:01:54.560Z] 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. [2025-03-31T02:01:54.560Z] The best model improves the baseline by 14.52%. [2025-03-31T02:01:55.333Z] Top recommended movies for user id 72: [2025-03-31T02:01:55.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:01:55.333Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:01:55.333Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:01:55.333Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:01:55.333Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:01:55.334Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (38110.672 ms) ====== [2025-03-31T02:01:55.334Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-03-31T02:01:55.334Z] GC before operation: completed in 429.931 ms, heap usage 420.350 MB -> 88.791 MB. [2025-03-31T02:02:03.539Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:02:10.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:02:17.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:02:24.066Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:02:28.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:02:31.854Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:02:36.266Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:02:40.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:02:42.273Z] 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. [2025-03-31T02:02:42.273Z] The best model improves the baseline by 14.52%. [2025-03-31T02:02:42.273Z] Top recommended movies for user id 72: [2025-03-31T02:02:42.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:02:42.273Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:02:42.273Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:02:42.273Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:02:42.273Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:02:42.273Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (46781.512 ms) ====== [2025-03-31T02:02:42.273Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-03-31T02:02:43.033Z] GC before operation: completed in 448.889 ms, heap usage 346.713 MB -> 88.901 MB. [2025-03-31T02:02:49.844Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:02:57.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:03:05.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:03:12.185Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:03:15.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:03:19.933Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:03:24.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:03:29.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:03:29.899Z] 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. [2025-03-31T02:03:29.899Z] The best model improves the baseline by 14.52%. [2025-03-31T02:03:30.652Z] Top recommended movies for user id 72: [2025-03-31T02:03:30.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:03:30.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:03:30.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:03:30.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:03:30.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:03:30.652Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (48012.630 ms) ====== [2025-03-31T02:03:30.652Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-03-31T02:03:31.407Z] GC before operation: completed in 331.684 ms, heap usage 109.555 MB -> 88.749 MB. [2025-03-31T02:03:38.200Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:03:46.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:03:53.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:04:00.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:04:04.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:04:08.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:04:13.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:04:18.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:04:18.258Z] 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. [2025-03-31T02:04:19.026Z] The best model improves the baseline by 14.52%. [2025-03-31T02:04:19.026Z] Top recommended movies for user id 72: [2025-03-31T02:04:19.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:04:19.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:04:19.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:04:19.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:04:19.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:04:19.026Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47894.452 ms) ====== [2025-03-31T02:04:19.026Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-03-31T02:04:19.026Z] GC before operation: completed in 355.020 ms, heap usage 315.536 MB -> 88.817 MB. [2025-03-31T02:04:25.847Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:04:32.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:04:40.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:04:48.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:04:52.938Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:04:57.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:05:01.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:05:07.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:05:07.534Z] 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. [2025-03-31T02:05:07.534Z] The best model improves the baseline by 14.52%. [2025-03-31T02:05:07.534Z] Top recommended movies for user id 72: [2025-03-31T02:05:07.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:05:07.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:05:07.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:05:07.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:05:07.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:05:07.534Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48619.306 ms) ====== [2025-03-31T02:05:07.534Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-03-31T02:05:08.294Z] GC before operation: completed in 405.612 ms, heap usage 169.459 MB -> 88.893 MB. [2025-03-31T02:05:16.550Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:05:23.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:05:31.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:05:38.339Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:05:44.340Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:05:48.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:05:55.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:06:02.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:06:02.028Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-03-31T02:06:02.028Z] The best model improves the baseline by 14.52%. [2025-03-31T02:06:02.795Z] Top recommended movies for user id 72: [2025-03-31T02:06:02.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:06:02.795Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:06:02.795Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:06:02.795Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:06:02.795Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:06:02.795Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54162.994 ms) ====== [2025-03-31T02:06:02.795Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-03-31T02:06:02.795Z] GC before operation: completed in 420.358 ms, heap usage 320.428 MB -> 88.907 MB. [2025-03-31T02:06:11.079Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:06:16.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:06:24.791Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:06:32.038Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:06:35.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:06:39.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:06:44.929Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:06:49.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:06:50.120Z] 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. [2025-03-31T02:06:50.880Z] The best model improves the baseline by 14.52%. [2025-03-31T02:06:50.880Z] Top recommended movies for user id 72: [2025-03-31T02:06:50.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:06:50.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:06:50.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:06:50.880Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:06:50.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:06:50.880Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48074.178 ms) ====== [2025-03-31T02:06:50.880Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-03-31T02:06:51.642Z] GC before operation: completed in 456.280 ms, heap usage 243.693 MB -> 88.886 MB. [2025-03-31T02:06:59.856Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:07:06.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:07:14.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:07:21.679Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:07:26.103Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:07:29.491Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:07:34.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:07:38.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:07:39.592Z] 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. [2025-03-31T02:07:39.592Z] The best model improves the baseline by 14.52%. [2025-03-31T02:07:39.592Z] Top recommended movies for user id 72: [2025-03-31T02:07:39.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:07:39.592Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:07:39.592Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:07:39.592Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:07:39.592Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:07:39.592Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (48534.459 ms) ====== [2025-03-31T02:07:39.592Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-03-31T02:07:40.375Z] GC before operation: completed in 381.413 ms, heap usage 335.978 MB -> 88.964 MB. [2025-03-31T02:07:47.366Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:07:54.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:08:01.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:08:08.558Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:08:13.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:08:16.689Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:08:22.427Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:08:25.985Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:08:25.985Z] 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. [2025-03-31T02:08:26.780Z] The best model improves the baseline by 14.52%. [2025-03-31T02:08:26.780Z] Top recommended movies for user id 72: [2025-03-31T02:08:26.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:08:26.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:08:26.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:08:26.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:08:26.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:08:26.780Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (46266.933 ms) ====== [2025-03-31T02:08:26.780Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-03-31T02:08:26.780Z] GC before operation: completed in 367.205 ms, heap usage 338.856 MB -> 88.938 MB. [2025-03-31T02:08:34.387Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:08:41.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:08:48.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:08:55.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:09:00.155Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:09:04.755Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:09:10.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:09:14.061Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:09:14.867Z] 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. [2025-03-31T02:09:15.667Z] The best model improves the baseline by 14.52%. [2025-03-31T02:09:15.667Z] Top recommended movies for user id 72: [2025-03-31T02:09:15.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:09:15.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:09:15.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:09:15.667Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:09:15.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:09:15.667Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48793.027 ms) ====== [2025-03-31T02:09:17.293Z] ----------------------------------- [2025-03-31T02:09:17.293Z] renaissance-movie-lens_0_PASSED [2025-03-31T02:09:17.293Z] ----------------------------------- [2025-03-31T02:09:17.293Z] [2025-03-31T02:09:17.293Z] TEST TEARDOWN: [2025-03-31T02:09:17.293Z] Nothing to be done for teardown. [2025-03-31T02:09:17.293Z] renaissance-movie-lens_0 Finish Time: Mon Mar 31 02:09:16 2025 Epoch Time (ms): 1743386956572