[2025-12-24T22:41:43.550Z] Running test renaissance-movie-lens_0 ... [2025-12-24T22:41:43.550Z] =============================================== [2025-12-24T22:41:43.550Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 22:41:42 2025 Epoch Time (ms): 1766616102824 [2025-12-24T22:41:43.550Z] variation: NoOptions [2025-12-24T22:41:43.550Z] JVM_OPTIONS: [2025-12-24T22:41:43.550Z] { \ [2025-12-24T22:41:43.550Z] echo ""; echo "TEST SETUP:"; \ [2025-12-24T22:41:43.550Z] echo "Nothing to be done for setup."; \ [2025-12-24T22:41:43.550Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17666144333162/renaissance-movie-lens_0"; \ [2025-12-24T22:41:43.550Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17666144333162/renaissance-movie-lens_0"; \ [2025-12-24T22:41:43.550Z] echo ""; echo "TESTING:"; \ [2025-12-24T22:41:43.550Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17666144333162/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-24T22:41:43.550Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17666144333162/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-24T22:41:43.550Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-24T22:41:43.550Z] echo "Nothing to be done for teardown."; \ [2025-12-24T22:41:43.550Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17666144333162/TestTargetResult"; [2025-12-24T22:41:43.550Z] [2025-12-24T22:41:43.550Z] TEST SETUP: [2025-12-24T22:41:43.550Z] Nothing to be done for setup. [2025-12-24T22:41:43.550Z] [2025-12-24T22:41:43.550Z] TESTING: [2025-12-24T22:41:48.301Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-24T22:41:55.589Z] 22:41:54.615 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-12-24T22:41:57.867Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-24T22:41:59.039Z] Training: 60056, validation: 20285, test: 19854 [2025-12-24T22:41:59.039Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-24T22:41:59.039Z] GC before operation: completed in 135.761 ms, heap usage 208.290 MB -> 75.590 MB. [2025-12-24T22:42:06.480Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:42:11.248Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:42:15.040Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:42:18.050Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:42:20.316Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:42:22.581Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:42:24.844Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:42:26.509Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:42:26.862Z] 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. [2025-12-24T22:42:26.862Z] The best model improves the baseline by 14.34%. [2025-12-24T22:42:26.862Z] Top recommended movies for user id 72: [2025-12-24T22:42:26.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:42:26.862Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:42:26.862Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:42:26.862Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:42:26.862Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:42:26.862Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27939.235 ms) ====== [2025-12-24T22:42:26.862Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-24T22:42:27.192Z] GC before operation: completed in 153.257 ms, heap usage 159.584 MB -> 96.152 MB. [2025-12-24T22:42:30.252Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:42:32.513Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:42:35.487Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:42:37.152Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:42:38.815Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:42:39.967Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:42:41.634Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:42:42.785Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:42:43.115Z] 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. [2025-12-24T22:42:43.115Z] The best model improves the baseline by 14.34%. [2025-12-24T22:42:43.115Z] Top recommended movies for user id 72: [2025-12-24T22:42:43.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:42:43.115Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:42:43.115Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:42:43.115Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:42:43.115Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:42:43.115Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16066.658 ms) ====== [2025-12-24T22:42:43.115Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-24T22:42:43.444Z] GC before operation: completed in 156.625 ms, heap usage 662.017 MB -> 91.857 MB. [2025-12-24T22:42:45.717Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:42:48.434Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:42:50.703Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:42:52.962Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:42:54.114Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:42:55.785Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:42:56.949Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:42:58.630Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:42:58.630Z] 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. [2025-12-24T22:42:58.630Z] The best model improves the baseline by 14.34%. [2025-12-24T22:42:58.966Z] Top recommended movies for user id 72: [2025-12-24T22:42:58.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:42:58.966Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:42:58.966Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:42:58.966Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:42:58.966Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:42:58.966Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15568.817 ms) ====== [2025-12-24T22:42:58.966Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-24T22:42:58.966Z] GC before operation: completed in 139.163 ms, heap usage 407.129 MB -> 88.787 MB. [2025-12-24T22:43:01.221Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:43:03.487Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:43:06.450Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:43:08.115Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:43:09.294Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:43:10.974Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:43:12.218Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:43:13.373Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:43:13.707Z] 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. [2025-12-24T22:43:13.707Z] The best model improves the baseline by 14.34%. [2025-12-24T22:43:14.059Z] Top recommended movies for user id 72: [2025-12-24T22:43:14.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:43:14.059Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:43:14.059Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:43:14.059Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:43:14.059Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:43:14.059Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14851.951 ms) ====== [2025-12-24T22:43:14.059Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-24T22:43:14.059Z] GC before operation: completed in 134.235 ms, heap usage 351.933 MB -> 89.129 MB. [2025-12-24T22:43:16.374Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:43:18.690Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:43:20.972Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:43:23.263Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:43:24.418Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:43:25.571Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:43:27.228Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:43:28.395Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:43:28.395Z] 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. [2025-12-24T22:43:28.395Z] The best model improves the baseline by 14.34%. [2025-12-24T22:43:28.731Z] Top recommended movies for user id 72: [2025-12-24T22:43:28.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:43:28.731Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:43:28.731Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:43:28.731Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:43:28.731Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:43:28.731Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14630.401 ms) ====== [2025-12-24T22:43:28.731Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-24T22:43:28.731Z] GC before operation: completed in 129.619 ms, heap usage 236.467 MB -> 88.842 MB. [2025-12-24T22:43:30.990Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:43:33.320Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:43:34.980Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:43:37.243Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:43:38.908Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:43:40.568Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:43:41.716Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:43:43.381Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:43:43.381Z] 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. [2025-12-24T22:43:43.381Z] The best model improves the baseline by 14.34%. [2025-12-24T22:43:43.715Z] Top recommended movies for user id 72: [2025-12-24T22:43:43.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:43:43.715Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:43:43.715Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:43:43.715Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:43:43.715Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:43:43.715Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14881.702 ms) ====== [2025-12-24T22:43:43.715Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-24T22:43:43.715Z] GC before operation: completed in 128.195 ms, heap usage 124.055 MB -> 88.941 MB. [2025-12-24T22:43:46.678Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:43:48.360Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:43:50.622Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:43:52.885Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:43:54.048Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:43:55.294Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:43:56.444Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:43:57.587Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:43:57.920Z] 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. [2025-12-24T22:43:58.248Z] The best model improves the baseline by 14.34%. [2025-12-24T22:43:58.248Z] Top recommended movies for user id 72: [2025-12-24T22:43:58.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:43:58.248Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:43:58.248Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:43:58.248Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:43:58.248Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:43:58.248Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14428.469 ms) ====== [2025-12-24T22:43:58.248Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-24T22:43:58.248Z] GC before operation: completed in 124.480 ms, heap usage 217.962 MB -> 89.007 MB. [2025-12-24T22:44:00.517Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:44:02.773Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:44:05.032Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:44:06.692Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:44:07.840Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:44:09.500Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:44:10.652Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:44:11.804Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:44:11.804Z] 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. [2025-12-24T22:44:11.804Z] The best model improves the baseline by 14.34%. [2025-12-24T22:44:12.137Z] Top recommended movies for user id 72: [2025-12-24T22:44:12.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:44:12.137Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:44:12.137Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:44:12.137Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:44:12.137Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:44:12.137Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13639.025 ms) ====== [2025-12-24T22:44:12.137Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-24T22:44:12.137Z] GC before operation: completed in 124.973 ms, heap usage 216.741 MB -> 89.300 MB. [2025-12-24T22:44:14.468Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:44:16.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:44:18.465Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:44:20.730Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:44:22.395Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:44:23.544Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:44:24.696Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:44:25.854Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:44:26.184Z] 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. [2025-12-24T22:44:26.184Z] The best model improves the baseline by 14.34%. [2025-12-24T22:44:26.184Z] Top recommended movies for user id 72: [2025-12-24T22:44:26.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:44:26.184Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:44:26.184Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:44:26.184Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:44:26.184Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:44:26.184Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14169.065 ms) ====== [2025-12-24T22:44:26.184Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-24T22:44:26.517Z] GC before operation: completed in 130.162 ms, heap usage 222.866 MB -> 89.258 MB. [2025-12-24T22:44:28.789Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:44:30.455Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:44:32.719Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:44:34.385Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:44:35.616Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:44:36.777Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:44:38.448Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:44:39.610Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:44:39.941Z] 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. [2025-12-24T22:44:39.941Z] The best model improves the baseline by 14.34%. [2025-12-24T22:44:39.941Z] Top recommended movies for user id 72: [2025-12-24T22:44:39.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:44:39.941Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:44:39.941Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:44:39.941Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:44:39.941Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:44:39.941Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13650.974 ms) ====== [2025-12-24T22:44:39.941Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-24T22:44:40.273Z] GC before operation: completed in 132.417 ms, heap usage 167.850 MB -> 89.238 MB. [2025-12-24T22:44:42.539Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:44:44.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:44:46.470Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:44:48.136Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:44:49.288Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:44:50.445Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:44:52.110Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:44:52.823Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:44:53.155Z] 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. [2025-12-24T22:44:53.487Z] The best model improves the baseline by 14.34%. [2025-12-24T22:44:53.487Z] Top recommended movies for user id 72: [2025-12-24T22:44:53.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:44:53.487Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:44:53.487Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:44:53.487Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:44:53.487Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:44:53.487Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13272.182 ms) ====== [2025-12-24T22:44:53.487Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-24T22:44:53.487Z] GC before operation: completed in 122.791 ms, heap usage 413.227 MB -> 89.514 MB. [2025-12-24T22:44:55.823Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:44:57.491Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:44:59.779Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:01.439Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:02.594Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:03.748Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:04.912Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:06.060Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:06.390Z] 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. [2025-12-24T22:45:06.390Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:06.390Z] Top recommended movies for user id 72: [2025-12-24T22:45:06.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:06.390Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:06.390Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:06.390Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:06.390Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:06.390Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12883.085 ms) ====== [2025-12-24T22:45:06.390Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-24T22:45:06.718Z] GC before operation: completed in 130.099 ms, heap usage 353.317 MB -> 89.656 MB. [2025-12-24T22:45:08.981Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:10.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:12.926Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:14.592Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:15.751Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:16.902Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:18.057Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:19.212Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:19.545Z] 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. [2025-12-24T22:45:19.545Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:19.545Z] Top recommended movies for user id 72: [2025-12-24T22:45:19.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:19.545Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:19.545Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:19.545Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:19.545Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:19.545Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12917.075 ms) ====== [2025-12-24T22:45:19.545Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-24T22:45:19.545Z] GC before operation: completed in 122.233 ms, heap usage 391.573 MB -> 90.325 MB. [2025-12-24T22:45:21.807Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:23.473Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:25.746Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:27.413Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:29.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:29.857Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:31.520Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:32.235Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:32.566Z] 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. [2025-12-24T22:45:32.566Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:32.566Z] Top recommended movies for user id 72: [2025-12-24T22:45:32.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:32.566Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:32.566Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:32.566Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:32.566Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:32.566Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13003.264 ms) ====== [2025-12-24T22:45:32.566Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-24T22:45:32.906Z] GC before operation: completed in 139.470 ms, heap usage 600.452 MB -> 93.641 MB. [2025-12-24T22:45:35.171Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:36.921Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:39.186Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:40.862Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:42.014Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:43.167Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:44.331Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:45.490Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:45.820Z] 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. [2025-12-24T22:45:45.820Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:45.820Z] Top recommended movies for user id 72: [2025-12-24T22:45:45.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:45.820Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:45.820Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:45.820Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:45.820Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:45.820Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13058.457 ms) ====== [2025-12-24T22:45:45.820Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-24T22:45:45.820Z] GC before operation: completed in 117.295 ms, heap usage 245.878 MB -> 89.545 MB. [2025-12-24T22:45:48.085Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:49.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:52.020Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:53.687Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:54.840Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:55.992Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:57.160Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:58.310Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:58.641Z] 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. [2025-12-24T22:45:58.641Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:58.641Z] Top recommended movies for user id 72: [2025-12-24T22:45:58.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:58.641Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:58.641Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:58.641Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:58.641Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:58.641Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12764.526 ms) ====== [2025-12-24T22:45:58.641Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-24T22:45:58.974Z] GC before operation: completed in 130.830 ms, heap usage 618.893 MB -> 93.158 MB. [2025-12-24T22:46:01.241Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:02.908Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:05.186Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:06.846Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:08.002Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:09.159Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:10.308Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:11.470Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:11.803Z] 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. [2025-12-24T22:46:11.803Z] The best model improves the baseline by 14.34%. [2025-12-24T22:46:11.803Z] Top recommended movies for user id 72: [2025-12-24T22:46:11.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:46:11.803Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:46:11.803Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:46:11.803Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:46:11.803Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:46:11.803Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12928.751 ms) ====== [2025-12-24T22:46:11.803Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-24T22:46:11.803Z] GC before operation: completed in 123.153 ms, heap usage 408.342 MB -> 89.784 MB. [2025-12-24T22:46:14.066Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:15.732Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:18.073Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:19.736Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:20.892Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:22.560Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:23.719Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:24.876Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:25.210Z] 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. [2025-12-24T22:46:25.210Z] The best model improves the baseline by 14.34%. [2025-12-24T22:46:25.210Z] Top recommended movies for user id 72: [2025-12-24T22:46:25.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:46:25.210Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:46:25.210Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:46:25.210Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:46:25.210Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:46:25.210Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13293.855 ms) ====== [2025-12-24T22:46:25.210Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-24T22:46:25.210Z] GC before operation: completed in 122.727 ms, heap usage 155.626 MB -> 89.187 MB. [2025-12-24T22:46:27.478Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:29.147Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:31.408Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:33.073Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:34.224Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:35.374Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:36.528Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:37.757Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:38.086Z] 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. [2025-12-24T22:46:38.086Z] The best model improves the baseline by 14.34%. [2025-12-24T22:46:38.086Z] Top recommended movies for user id 72: [2025-12-24T22:46:38.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:46:38.086Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:46:38.086Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:46:38.086Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:46:38.086Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:46:38.086Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12699.827 ms) ====== [2025-12-24T22:46:38.086Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-24T22:46:38.086Z] GC before operation: completed in 131.706 ms, heap usage 413.208 MB -> 89.786 MB. [2025-12-24T22:46:40.348Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:42.010Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:44.273Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:45.938Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:47.091Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:47.802Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:49.465Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:50.176Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:50.505Z] 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. [2025-12-24T22:46:50.506Z] The best model improves the baseline by 14.34%. [2025-12-24T22:46:50.506Z] Top recommended movies for user id 72: [2025-12-24T22:46:50.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:46:50.506Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:46:50.506Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:46:50.506Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:46:50.506Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:46:50.506Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12470.476 ms) ====== [2025-12-24T22:46:51.216Z] ----------------------------------- [2025-12-24T22:46:51.216Z] renaissance-movie-lens_0_PASSED [2025-12-24T22:46:51.216Z] ----------------------------------- [2025-12-24T22:46:51.216Z] [2025-12-24T22:46:51.216Z] TEST TEARDOWN: [2025-12-24T22:46:51.216Z] Nothing to be done for teardown. [2025-12-24T22:46:51.216Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 22:46:51 2025 Epoch Time (ms): 1766616411043