[2025-11-06T14:13:17.436Z] Running test renaissance-movie-lens_0 ... [2025-11-06T14:13:17.436Z] =============================================== [2025-11-06T14:13:17.436Z] renaissance-movie-lens_0 Start Time: Thu Nov 6 14:13:17 2025 Epoch Time (ms): 1762438397283 [2025-11-06T14:13:17.436Z] variation: NoOptions [2025-11-06T14:13:17.436Z] JVM_OPTIONS: [2025-11-06T14:13:17.436Z] { \ [2025-11-06T14:13:17.436Z] echo ""; echo "TEST SETUP:"; \ [2025-11-06T14:13:17.436Z] echo "Nothing to be done for setup."; \ [2025-11-06T14:13:17.436Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17624375152549/renaissance-movie-lens_0"; \ [2025-11-06T14:13:17.436Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17624375152549/renaissance-movie-lens_0"; \ [2025-11-06T14:13:17.436Z] echo ""; echo "TESTING:"; \ [2025-11-06T14:13:17.436Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux_testList_0/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_openjdk17_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17624375152549/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-06T14:13:17.436Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17624375152549/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-06T14:13:17.436Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-06T14:13:17.436Z] echo "Nothing to be done for teardown."; \ [2025-11-06T14:13:17.436Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17624375152549/TestTargetResult"; [2025-11-06T14:13:17.436Z] [2025-11-06T14:13:17.436Z] TEST SETUP: [2025-11-06T14:13:17.436Z] Nothing to be done for setup. [2025-11-06T14:13:17.436Z] [2025-11-06T14:13:17.436Z] TESTING: [2025-11-06T14:13:22.736Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-06T14:13:29.263Z] 14:13:28.859 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-06T14:13:31.593Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-06T14:13:32.311Z] Training: 60056, validation: 20285, test: 19854 [2025-11-06T14:13:32.311Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-06T14:13:32.311Z] GC before operation: completed in 122.098 ms, heap usage 165.172 MB -> 75.752 MB. [2025-11-06T14:13:40.347Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:13:45.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:13:48.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:13:52.122Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:13:53.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:13:55.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:13:57.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:13:58.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:13:58.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:13:58.938Z] The best model improves the baseline by 14.52%. [2025-11-06T14:13:58.938Z] Top recommended movies for user id 72: [2025-11-06T14:13:58.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:13:58.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:13:58.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:13:58.938Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:13:58.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:13:58.938Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26747.569 ms) ====== [2025-11-06T14:13:58.938Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-06T14:13:59.657Z] GC before operation: completed in 141.884 ms, heap usage 220.336 MB -> 97.544 MB. [2025-11-06T14:14:02.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:14:05.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:14:08.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:14:10.873Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:14:12.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:14:13.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:14:15.137Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:14:16.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:14:17.346Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:14:17.346Z] The best model improves the baseline by 14.52%. [2025-11-06T14:14:17.346Z] Top recommended movies for user id 72: [2025-11-06T14:14:17.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:14:17.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:14:17.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:14:17.346Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:14:17.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:14:17.346Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17896.943 ms) ====== [2025-11-06T14:14:17.346Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-06T14:14:17.346Z] GC before operation: completed in 114.175 ms, heap usage 370.391 MB -> 92.250 MB. [2025-11-06T14:14:20.572Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:14:22.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:14:25.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:14:27.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:14:29.907Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:14:31.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:14:32.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:14:34.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:14:34.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:14:34.405Z] The best model improves the baseline by 14.52%. [2025-11-06T14:14:34.405Z] Top recommended movies for user id 72: [2025-11-06T14:14:34.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:14:34.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:14:34.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:14:34.405Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:14:34.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:14:34.405Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17155.989 ms) ====== [2025-11-06T14:14:34.405Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-06T14:14:34.405Z] GC before operation: completed in 106.468 ms, heap usage 262.666 MB -> 89.378 MB. [2025-11-06T14:14:37.637Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:14:39.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:14:43.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:14:45.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:14:46.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:14:48.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:14:49.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:14:51.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:14:52.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:14:52.199Z] The best model improves the baseline by 14.52%. [2025-11-06T14:14:52.199Z] Top recommended movies for user id 72: [2025-11-06T14:14:52.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:14:52.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:14:52.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:14:52.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:14:52.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:14:52.199Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17379.889 ms) ====== [2025-11-06T14:14:52.199Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-06T14:14:52.199Z] GC before operation: completed in 110.207 ms, heap usage 224.743 MB -> 95.443 MB. [2025-11-06T14:14:54.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:14:56.850Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:15:00.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:15:02.398Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:15:03.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:15:05.086Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:15:06.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:15:08.076Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:15:08.799Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:15:08.799Z] The best model improves the baseline by 14.52%. [2025-11-06T14:15:08.799Z] Top recommended movies for user id 72: [2025-11-06T14:15:08.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:15:08.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:15:08.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:15:08.799Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:15:08.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:15:08.799Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16467.132 ms) ====== [2025-11-06T14:15:08.799Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-06T14:15:08.799Z] GC before operation: completed in 115.477 ms, heap usage 278.995 MB -> 91.960 MB. [2025-11-06T14:15:11.118Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:15:13.461Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:15:16.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:15:19.005Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:15:19.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:15:21.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:15:22.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:15:24.211Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:15:24.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:15:24.935Z] The best model improves the baseline by 14.52%. [2025-11-06T14:15:24.935Z] Top recommended movies for user id 72: [2025-11-06T14:15:24.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:15:24.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:15:24.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:15:24.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:15:24.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:15:24.935Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16035.175 ms) ====== [2025-11-06T14:15:24.935Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-06T14:15:24.935Z] GC before operation: completed in 103.045 ms, heap usage 113.684 MB -> 89.839 MB. [2025-11-06T14:15:27.256Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:15:30.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:15:32.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:15:35.191Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:15:36.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:15:38.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:15:39.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:15:41.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:15:41.168Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:15:41.168Z] The best model improves the baseline by 14.52%. [2025-11-06T14:15:41.168Z] Top recommended movies for user id 72: [2025-11-06T14:15:41.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:15:41.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:15:41.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:15:41.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:15:41.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:15:41.168Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16586.314 ms) ====== [2025-11-06T14:15:41.168Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-06T14:15:41.887Z] GC before operation: completed in 107.113 ms, heap usage 368.472 MB -> 93.598 MB. [2025-11-06T14:15:44.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:15:46.531Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:15:48.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:15:51.642Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:15:52.388Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:15:53.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:15:55.377Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:15:56.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:15:56.874Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:15:56.874Z] The best model improves the baseline by 14.52%. [2025-11-06T14:15:56.874Z] Top recommended movies for user id 72: [2025-11-06T14:15:56.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:15:56.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:15:56.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:15:56.874Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:15:56.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:15:56.874Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15250.620 ms) ====== [2025-11-06T14:15:56.874Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-06T14:15:56.874Z] GC before operation: completed in 105.934 ms, heap usage 209.398 MB -> 93.102 MB. [2025-11-06T14:15:59.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:16:01.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:16:03.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:16:06.176Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:16:07.753Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:16:09.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:16:09.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:16:11.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:16:11.471Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:16:12.193Z] The best model improves the baseline by 14.52%. [2025-11-06T14:16:12.193Z] Top recommended movies for user id 72: [2025-11-06T14:16:12.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:16:12.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:16:12.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:16:12.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:16:12.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:16:12.193Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15046.802 ms) ====== [2025-11-06T14:16:12.193Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-06T14:16:12.193Z] GC before operation: completed in 101.832 ms, heap usage 370.477 MB -> 92.378 MB. [2025-11-06T14:16:14.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:16:16.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:16:19.168Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:16:21.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:16:22.983Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:16:24.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:16:25.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:16:26.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:16:27.419Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:16:27.419Z] The best model improves the baseline by 14.52%. [2025-11-06T14:16:27.419Z] Top recommended movies for user id 72: [2025-11-06T14:16:27.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:16:27.419Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:16:27.419Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:16:27.419Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:16:27.419Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:16:27.419Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15272.724 ms) ====== [2025-11-06T14:16:27.419Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-06T14:16:27.419Z] GC before operation: completed in 99.977 ms, heap usage 294.468 MB -> 92.113 MB. [2025-11-06T14:16:30.657Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:16:32.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:16:35.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:16:36.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:16:38.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:16:39.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:16:41.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:16:43.092Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:16:43.092Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:16:43.092Z] The best model improves the baseline by 14.52%. [2025-11-06T14:16:43.092Z] Top recommended movies for user id 72: [2025-11-06T14:16:43.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:16:43.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:16:43.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:16:43.092Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:16:43.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:16:43.092Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15625.992 ms) ====== [2025-11-06T14:16:43.092Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-06T14:16:43.092Z] GC before operation: completed in 106.708 ms, heap usage 502.507 MB -> 92.091 MB. [2025-11-06T14:16:45.422Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:16:47.754Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:16:50.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:16:52.412Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:16:53.898Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:16:55.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:16:56.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:16:58.371Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:16:59.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:16:59.093Z] The best model improves the baseline by 14.52%. [2025-11-06T14:16:59.093Z] Top recommended movies for user id 72: [2025-11-06T14:16:59.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:16:59.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:16:59.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:16:59.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:16:59.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:16:59.093Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15689.224 ms) ====== [2025-11-06T14:16:59.093Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-06T14:16:59.093Z] GC before operation: completed in 101.652 ms, heap usage 210.030 MB -> 95.841 MB. [2025-11-06T14:17:01.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:17:03.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:17:06.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:17:08.477Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:17:09.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:17:11.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:17:12.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:17:14.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:17:14.441Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:17:14.441Z] The best model improves the baseline by 14.52%. [2025-11-06T14:17:14.441Z] Top recommended movies for user id 72: [2025-11-06T14:17:14.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:17:14.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:17:14.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:17:14.441Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:17:14.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:17:14.441Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15574.648 ms) ====== [2025-11-06T14:17:14.441Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-06T14:17:14.441Z] GC before operation: completed in 108.331 ms, heap usage 273.776 MB -> 92.611 MB. [2025-11-06T14:17:16.774Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:17:19.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:17:22.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:17:23.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:17:25.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:17:26.802Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:17:28.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:17:29.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:17:29.480Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:17:29.480Z] The best model improves the baseline by 14.52%. [2025-11-06T14:17:30.197Z] Top recommended movies for user id 72: [2025-11-06T14:17:30.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:17:30.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:17:30.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:17:30.197Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:17:30.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:17:30.197Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15163.868 ms) ====== [2025-11-06T14:17:30.197Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-06T14:17:30.197Z] GC before operation: completed in 104.450 ms, heap usage 255.020 MB -> 90.064 MB. [2025-11-06T14:17:32.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:17:34.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:17:37.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:17:39.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:17:40.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:17:41.721Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:17:43.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:17:44.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:17:44.714Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:17:44.714Z] The best model improves the baseline by 14.52%. [2025-11-06T14:17:44.714Z] Top recommended movies for user id 72: [2025-11-06T14:17:44.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:17:44.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:17:44.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:17:44.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:17:44.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:17:44.714Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14984.858 ms) ====== [2025-11-06T14:17:44.714Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-06T14:17:44.714Z] GC before operation: completed in 102.566 ms, heap usage 166.432 MB -> 92.117 MB. [2025-11-06T14:17:47.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:17:49.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:17:51.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:17:54.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:17:55.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:17:57.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:17:58.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:17:59.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:17:59.949Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:17:59.949Z] The best model improves the baseline by 14.52%. [2025-11-06T14:17:59.949Z] Top recommended movies for user id 72: [2025-11-06T14:17:59.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:17:59.949Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:17:59.949Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:17:59.949Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:17:59.949Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:17:59.949Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14793.559 ms) ====== [2025-11-06T14:17:59.949Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-06T14:17:59.949Z] GC before operation: completed in 105.674 ms, heap usage 524.079 MB -> 90.527 MB. [2025-11-06T14:18:02.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:18:04.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:18:06.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:18:09.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:18:10.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:18:11.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:18:13.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:18:14.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:18:14.606Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:18:14.606Z] The best model improves the baseline by 14.52%. [2025-11-06T14:18:14.606Z] Top recommended movies for user id 72: [2025-11-06T14:18:14.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:18:14.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:18:14.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:18:14.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:18:14.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:18:14.606Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14774.403 ms) ====== [2025-11-06T14:18:14.606Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-06T14:18:14.606Z] GC before operation: completed in 113.173 ms, heap usage 284.194 MB -> 90.331 MB. [2025-11-06T14:18:16.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:18:20.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:18:22.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:18:24.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:18:26.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:18:27.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:18:29.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:18:30.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:18:30.915Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:18:30.915Z] The best model improves the baseline by 14.52%. [2025-11-06T14:18:30.915Z] Top recommended movies for user id 72: [2025-11-06T14:18:30.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:18:30.915Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:18:30.915Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:18:30.915Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:18:30.915Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:18:30.915Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16012.180 ms) ====== [2025-11-06T14:18:30.915Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-06T14:18:30.915Z] GC before operation: completed in 108.224 ms, heap usage 432.432 MB -> 94.867 MB. [2025-11-06T14:18:33.243Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:18:35.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:18:38.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:18:40.333Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:18:41.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:18:42.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:18:44.042Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:18:45.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:18:46.256Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:18:46.256Z] The best model improves the baseline by 14.52%. [2025-11-06T14:18:46.256Z] Top recommended movies for user id 72: [2025-11-06T14:18:46.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:18:46.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:18:46.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:18:46.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:18:46.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:18:46.256Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15123.808 ms) ====== [2025-11-06T14:18:46.256Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-06T14:18:46.256Z] GC before operation: completed in 110.903 ms, heap usage 364.070 MB -> 92.716 MB. [2025-11-06T14:18:48.575Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T14:18:50.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T14:18:53.232Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T14:18:55.548Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T14:18:56.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T14:18:57.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T14:18:59.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T14:19:00.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T14:19:00.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T14:19:00.757Z] The best model improves the baseline by 14.52%. [2025-11-06T14:19:00.757Z] Top recommended movies for user id 72: [2025-11-06T14:19:00.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T14:19:00.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T14:19:00.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T14:19:00.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T14:19:00.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T14:19:00.757Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14609.137 ms) ====== [2025-11-06T14:19:01.474Z] ----------------------------------- [2025-11-06T14:19:01.474Z] renaissance-movie-lens_0_PASSED [2025-11-06T14:19:01.474Z] ----------------------------------- [2025-11-06T14:19:01.474Z] [2025-11-06T14:19:01.474Z] TEST TEARDOWN: [2025-11-06T14:19:01.474Z] Nothing to be done for teardown. [2025-11-06T14:19:01.474Z] renaissance-movie-lens_0 Finish Time: Thu Nov 6 14:19:00 2025 Epoch Time (ms): 1762438740826