[2025-03-30T22:06:01.681Z] Running test renaissance-movie-lens_0 ... [2025-03-30T22:06:01.681Z] =============================================== [2025-03-30T22:06:01.681Z] renaissance-movie-lens_0 Start Time: Sun Mar 30 18:06:00 2025 Epoch Time (ms): 1743372360641 [2025-03-30T22:06:01.681Z] variation: NoOptions [2025-03-30T22:06:01.681Z] JVM_OPTIONS: [2025-03-30T22:06:01.681Z] { \ [2025-03-30T22:06:01.681Z] echo ""; echo "TEST SETUP:"; \ [2025-03-30T22:06:01.681Z] echo "Nothing to be done for setup."; \ [2025-03-30T22:06:01.681Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17433695129326/renaissance-movie-lens_0"; \ [2025-03-30T22:06:01.681Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17433695129326/renaissance-movie-lens_0"; \ [2025-03-30T22:06:01.681Z] echo ""; echo "TESTING:"; \ [2025-03-30T22:06:01.681Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_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_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17433695129326/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-03-30T22:06:01.681Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17433695129326/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-03-30T22:06:01.681Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-03-30T22:06:01.681Z] echo "Nothing to be done for teardown."; \ [2025-03-30T22:06:01.681Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17433695129326/TestTargetResult"; [2025-03-30T22:06:01.681Z] [2025-03-30T22:06:01.681Z] TEST SETUP: [2025-03-30T22:06:01.681Z] Nothing to be done for setup. [2025-03-30T22:06:01.681Z] [2025-03-30T22:06:01.681Z] TESTING: [2025-03-30T22:06:08.142Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-03-30T22:06:15.682Z] 18:06:15.098 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-03-30T22:06:18.731Z] Got 100004 ratings from 671 users on 9066 movies. [2025-03-30T22:06:20.133Z] Training: 60056, validation: 20285, test: 19854 [2025-03-30T22:06:20.133Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-03-30T22:06:20.133Z] GC before operation: completed in 301.216 ms, heap usage 183.964 MB -> 74.406 MB. [2025-03-30T22:06:30.766Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:06:35.722Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:06:41.853Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:06:45.759Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:06:48.793Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:06:51.787Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:06:55.711Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:06:57.886Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:06:58.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:06:58.523Z] The best model improves the baseline by 14.34%. [2025-03-30T22:06:58.523Z] Top recommended movies for user id 72: [2025-03-30T22:06:58.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:06:58.523Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:06:58.523Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:06:58.523Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:06:58.523Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:06:58.523Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38540.226 ms) ====== [2025-03-30T22:06:58.523Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-03-30T22:06:59.670Z] GC before operation: completed in 295.326 ms, heap usage 149.679 MB -> 88.399 MB. [2025-03-30T22:07:03.561Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:07:07.460Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:07:12.443Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:07:16.387Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:07:18.519Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:07:20.611Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:07:23.553Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:07:25.663Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:07:25.663Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:07:25.663Z] The best model improves the baseline by 14.34%. [2025-03-30T22:07:26.306Z] Top recommended movies for user id 72: [2025-03-30T22:07:26.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:07:26.306Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:07:26.306Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:07:26.306Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:07:26.306Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:07:26.306Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27049.279 ms) ====== [2025-03-30T22:07:26.307Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-03-30T22:07:26.307Z] GC before operation: completed in 260.802 ms, heap usage 220.615 MB -> 86.737 MB. [2025-03-30T22:07:30.254Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:07:34.123Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:07:39.015Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:07:41.938Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:07:44.943Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:07:47.096Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:07:49.806Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:07:52.044Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:07:52.044Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:07:52.044Z] The best model improves the baseline by 14.34%. [2025-03-30T22:07:52.679Z] Top recommended movies for user id 72: [2025-03-30T22:07:52.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:07:52.679Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:07:52.679Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:07:52.679Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:07:52.679Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:07:52.679Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26187.765 ms) ====== [2025-03-30T22:07:52.679Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-03-30T22:07:52.679Z] GC before operation: completed in 202.371 ms, heap usage 144.674 MB -> 87.240 MB. [2025-03-30T22:07:56.573Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:08:00.729Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:08:04.640Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:08:08.554Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:08:11.679Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:08:14.703Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:08:16.843Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:08:19.851Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:08:20.532Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:08:20.532Z] The best model improves the baseline by 14.34%. [2025-03-30T22:08:20.532Z] Top recommended movies for user id 72: [2025-03-30T22:08:20.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:08:20.532Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:08:20.532Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:08:20.533Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:08:20.533Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:08:20.533Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27709.164 ms) ====== [2025-03-30T22:08:20.533Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-03-30T22:08:20.533Z] GC before operation: completed in 301.304 ms, heap usage 261.944 MB -> 87.683 MB. [2025-03-30T22:08:25.552Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:08:30.715Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:08:37.014Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:08:43.413Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:08:47.517Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:08:50.660Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:08:54.666Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:08:58.821Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:08:58.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:08:58.821Z] The best model improves the baseline by 14.34%. [2025-03-30T22:08:59.503Z] Top recommended movies for user id 72: [2025-03-30T22:08:59.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:08:59.503Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:08:59.503Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:08:59.503Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:08:59.503Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:08:59.503Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38409.624 ms) ====== [2025-03-30T22:08:59.503Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-03-30T22:08:59.503Z] GC before operation: completed in 456.148 ms, heap usage 199.900 MB -> 87.622 MB. [2025-03-30T22:09:07.367Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:09:15.964Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:09:25.752Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:09:33.664Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:09:36.772Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:09:41.974Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:09:46.137Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:09:49.452Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:09:50.173Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:09:50.173Z] The best model improves the baseline by 14.34%. [2025-03-30T22:09:50.858Z] Top recommended movies for user id 72: [2025-03-30T22:09:50.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:09:50.858Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:09:50.858Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:09:50.858Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:09:50.858Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:09:50.858Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51125.661 ms) ====== [2025-03-30T22:09:50.858Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-03-30T22:09:50.858Z] GC before operation: completed in 366.052 ms, heap usage 286.640 MB -> 87.938 MB. [2025-03-30T22:09:58.515Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:10:06.046Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:10:12.457Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:10:18.820Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:10:22.242Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:10:24.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:10:28.742Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:10:31.939Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:10:32.632Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:10:32.632Z] The best model improves the baseline by 14.34%. [2025-03-30T22:10:33.333Z] Top recommended movies for user id 72: [2025-03-30T22:10:33.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:10:33.334Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:10:33.334Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:10:33.334Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:10:33.334Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:10:33.334Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (42096.136 ms) ====== [2025-03-30T22:10:33.334Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-03-30T22:10:33.334Z] GC before operation: completed in 320.472 ms, heap usage 205.124 MB -> 87.757 MB. [2025-03-30T22:10:39.763Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:10:44.969Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:10:52.688Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:10:57.908Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:11:01.022Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:11:05.692Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:11:09.893Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:11:14.015Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:11:14.698Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:11:14.698Z] The best model improves the baseline by 14.34%. [2025-03-30T22:11:14.698Z] Top recommended movies for user id 72: [2025-03-30T22:11:14.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:11:14.698Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:11:14.698Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:11:14.698Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:11:14.698Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:11:14.698Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (41124.385 ms) ====== [2025-03-30T22:11:14.698Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-03-30T22:11:14.698Z] GC before operation: completed in 332.802 ms, heap usage 148.237 MB -> 88.120 MB. [2025-03-30T22:11:20.949Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:11:27.255Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:11:32.395Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:11:38.813Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:11:43.006Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:11:46.972Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:11:51.103Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:11:55.323Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:11:55.323Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:11:55.323Z] The best model improves the baseline by 14.34%. [2025-03-30T22:11:55.323Z] Top recommended movies for user id 72: [2025-03-30T22:11:55.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:11:55.323Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:11:55.323Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:11:55.323Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:11:55.323Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:11:55.323Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (40335.541 ms) ====== [2025-03-30T22:11:55.323Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-03-30T22:11:56.032Z] GC before operation: completed in 427.075 ms, heap usage 304.248 MB -> 87.990 MB. [2025-03-30T22:12:01.499Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:12:07.956Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:12:15.912Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:12:21.183Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:12:25.414Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:12:28.531Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:12:33.881Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:12:36.932Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:12:37.582Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:12:37.582Z] The best model improves the baseline by 14.34%. [2025-03-30T22:12:37.582Z] Top recommended movies for user id 72: [2025-03-30T22:12:37.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:12:37.582Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:12:37.582Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:12:37.582Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:12:37.582Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:12:37.582Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (42074.855 ms) ====== [2025-03-30T22:12:37.582Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-03-30T22:12:38.251Z] GC before operation: completed in 378.088 ms, heap usage 293.330 MB -> 88.190 MB. [2025-03-30T22:12:44.780Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:12:51.192Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:12:56.815Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:13:03.548Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:13:07.881Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:13:10.904Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:13:13.998Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:13:17.232Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:13:17.232Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:13:17.232Z] The best model improves the baseline by 14.34%. [2025-03-30T22:13:17.902Z] Top recommended movies for user id 72: [2025-03-30T22:13:17.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:13:17.903Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:13:17.903Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:13:17.903Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:13:17.903Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:13:17.903Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (39412.485 ms) ====== [2025-03-30T22:13:17.903Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-03-30T22:13:17.903Z] GC before operation: completed in 358.740 ms, heap usage 247.344 MB -> 87.903 MB. [2025-03-30T22:13:23.292Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:13:30.337Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:13:38.175Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:13:43.674Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:13:46.900Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:13:50.341Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:13:53.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:13:56.254Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:13:57.004Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:13:57.004Z] The best model improves the baseline by 14.34%. [2025-03-30T22:13:57.004Z] Top recommended movies for user id 72: [2025-03-30T22:13:57.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:13:57.004Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:13:57.004Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:13:57.004Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:13:57.004Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:13:57.004Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (39114.608 ms) ====== [2025-03-30T22:13:57.004Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-03-30T22:13:57.727Z] GC before operation: completed in 437.256 ms, heap usage 231.041 MB -> 89.671 MB. [2025-03-30T22:14:04.252Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:14:10.788Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:14:17.634Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:14:23.080Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:14:27.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:14:31.429Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:14:35.532Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:14:38.922Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:14:39.578Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:14:39.578Z] The best model improves the baseline by 14.34%. [2025-03-30T22:14:39.578Z] Top recommended movies for user id 72: [2025-03-30T22:14:39.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:14:39.578Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:14:39.578Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:14:39.578Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:14:39.578Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:14:39.578Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42373.181 ms) ====== [2025-03-30T22:14:39.578Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-03-30T22:14:40.275Z] GC before operation: completed in 313.393 ms, heap usage 259.619 MB -> 88.237 MB. [2025-03-30T22:14:45.357Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:14:50.499Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:14:56.039Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:15:00.103Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:15:02.215Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:15:05.454Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:15:07.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:15:10.723Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:15:10.723Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:15:10.723Z] The best model improves the baseline by 14.34%. [2025-03-30T22:15:10.723Z] Top recommended movies for user id 72: [2025-03-30T22:15:10.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:15:10.723Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:15:10.723Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:15:10.723Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:15:10.723Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:15:10.723Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (30743.008 ms) ====== [2025-03-30T22:15:10.723Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-03-30T22:15:11.405Z] GC before operation: completed in 298.228 ms, heap usage 146.208 MB -> 87.908 MB. [2025-03-30T22:15:15.393Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:15:20.490Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:15:25.568Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:15:30.660Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:15:32.849Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:15:35.908Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:15:39.007Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:15:43.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:15:43.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:15:43.032Z] The best model improves the baseline by 14.34%. [2025-03-30T22:15:43.032Z] Top recommended movies for user id 72: [2025-03-30T22:15:43.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:15:43.032Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:15:43.032Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:15:43.032Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:15:43.032Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:15:43.032Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (31697.936 ms) ====== [2025-03-30T22:15:43.032Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-03-30T22:15:43.714Z] GC before operation: completed in 443.550 ms, heap usage 207.639 MB -> 88.142 MB. [2025-03-30T22:15:48.173Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:15:52.153Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:15:57.194Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:16:03.574Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:16:06.647Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:16:09.734Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:16:11.992Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:16:15.972Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:16:15.972Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:16:15.972Z] The best model improves the baseline by 14.34%. [2025-03-30T22:16:15.972Z] Top recommended movies for user id 72: [2025-03-30T22:16:15.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:16:15.972Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:16:15.972Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:16:15.972Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:16:15.972Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:16:15.972Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (32705.159 ms) ====== [2025-03-30T22:16:15.972Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-03-30T22:16:16.672Z] GC before operation: completed in 338.484 ms, heap usage 203.944 MB -> 88.009 MB. [2025-03-30T22:16:21.808Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:16:28.364Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:16:36.355Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:16:41.683Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:16:46.342Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:16:50.477Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:16:54.657Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:16:58.719Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:16:59.392Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:16:59.392Z] The best model improves the baseline by 14.34%. [2025-03-30T22:17:00.077Z] Top recommended movies for user id 72: [2025-03-30T22:17:00.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:17:00.077Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:17:00.077Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:17:00.077Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:17:00.077Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:17:00.077Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (43441.767 ms) ====== [2025-03-30T22:17:00.077Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-03-30T22:17:00.077Z] GC before operation: completed in 399.800 ms, heap usage 221.036 MB -> 90.292 MB. [2025-03-30T22:17:07.867Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:17:14.234Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:17:21.934Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:17:28.463Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:17:31.692Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:17:36.254Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:17:40.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:17:45.288Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:17:46.082Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:17:46.082Z] The best model improves the baseline by 14.34%. [2025-03-30T22:17:46.842Z] Top recommended movies for user id 72: [2025-03-30T22:17:46.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:17:46.842Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:17:46.842Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:17:46.842Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:17:46.842Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:17:46.842Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46148.479 ms) ====== [2025-03-30T22:17:46.842Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-03-30T22:17:46.842Z] GC before operation: completed in 424.351 ms, heap usage 202.969 MB -> 87.930 MB. [2025-03-30T22:17:54.768Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:18:01.141Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:18:10.559Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:18:18.359Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:18:22.394Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:18:27.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:18:31.762Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:18:35.102Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:18:35.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:18:35.805Z] The best model improves the baseline by 14.34%. [2025-03-30T22:18:35.805Z] Top recommended movies for user id 72: [2025-03-30T22:18:35.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:18:35.805Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:18:35.805Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:18:35.805Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:18:35.805Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:18:35.805Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49159.552 ms) ====== [2025-03-30T22:18:35.805Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-03-30T22:18:36.487Z] GC before operation: completed in 631.171 ms, heap usage 222.972 MB -> 88.075 MB. [2025-03-30T22:18:44.801Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-30T22:18:50.024Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-30T22:18:57.771Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-30T22:19:03.084Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-30T22:19:07.157Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-30T22:19:11.231Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-30T22:19:15.277Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-30T22:19:19.590Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-30T22:19:19.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-03-30T22:19:19.590Z] The best model improves the baseline by 14.34%. [2025-03-30T22:19:20.332Z] Top recommended movies for user id 72: [2025-03-30T22:19:20.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-03-30T22:19:20.332Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-03-30T22:19:20.332Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-03-30T22:19:20.332Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-03-30T22:19:20.332Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-03-30T22:19:20.332Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (43448.454 ms) ====== [2025-03-30T22:19:21.043Z] ----------------------------------- [2025-03-30T22:19:21.043Z] renaissance-movie-lens_0_PASSED [2025-03-30T22:19:21.043Z] ----------------------------------- [2025-03-30T22:19:21.043Z] [2025-03-30T22:19:21.043Z] TEST TEARDOWN: [2025-03-30T22:19:21.043Z] Nothing to be done for teardown. [2025-03-30T22:19:21.043Z] renaissance-movie-lens_0 Finish Time: Sun Mar 30 18:19:20 2025 Epoch Time (ms): 1743373160968