renaissance-movie-lens_0
[2025-12-17T20:38:16.532Z] Running test renaissance-movie-lens_0 ...
[2025-12-17T20:38:16.532Z] ===============================================
[2025-12-17T20:38:16.532Z] renaissance-movie-lens_0 Start Time: Wed Dec 17 20:38:15 2025 Epoch Time (ms): 1766003895843
[2025-12-17T20:38:16.532Z] variation: NoOptions
[2025-12-17T20:38:16.532Z] JVM_OPTIONS:
[2025-12-17T20:38:16.532Z] { \
[2025-12-17T20:38:16.532Z] echo ""; echo "TEST SETUP:"; \
[2025-12-17T20:38:16.532Z] echo "Nothing to be done for setup."; \
[2025-12-17T20:38:16.532Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_0/aqa-tests/TKG/../TKG/output_17660030761663/renaissance-movie-lens_0"; \
[2025-12-17T20:38:16.532Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_0/aqa-tests/TKG/../TKG/output_17660030761663/renaissance-movie-lens_0"; \
[2025-12-17T20:38:16.532Z] echo ""; echo "TESTING:"; \
[2025-12-17T20:38:16.532Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_openjdk25_hs_extended.perf_ppc64le_linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_0/aqa-tests/TKG/../TKG/output_17660030761663/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-17T20:38:16.532Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_0/aqa-tests/TKG/../TKG/output_17660030761663/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-17T20:38:16.532Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-17T20:38:16.532Z] echo "Nothing to be done for teardown."; \
[2025-12-17T20:38:16.532Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_0/aqa-tests/TKG/../TKG/output_17660030761663/TestTargetResult";
[2025-12-17T20:38:16.532Z]
[2025-12-17T20:38:16.532Z] TEST SETUP:
[2025-12-17T20:38:16.532Z] Nothing to be done for setup.
[2025-12-17T20:38:16.532Z]
[2025-12-17T20:38:16.532Z] TESTING:
[2025-12-17T20:38:16.532Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-17T20:38:16.532Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_0/aqa-tests/TKG/output_17660030761663/renaissance-movie-lens_0/launcher-203815-9450428752186267279/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-17T20:38:16.532Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-17T20:38:16.532Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-17T20:38:21.749Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-17T20:38:28.469Z] 20:38:28.218 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-12-17T20:38:30.432Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-17T20:38:31.387Z] Training: 60056, validation: 20285, test: 19854
[2025-12-17T20:38:31.387Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-17T20:38:31.387Z] GC before operation: completed in 159.731 ms, heap usage 137.178 MB -> 75.781 MB.
[2025-12-17T20:38:36.770Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:38:40.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:38:43.963Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:38:45.925Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:38:47.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:38:50.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:38:51.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:38:52.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:38:53.879Z] 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.
[2025-12-17T20:38:53.879Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:38:53.879Z] Top recommended movies for user id 72:
[2025-12-17T20:38:53.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:38:53.879Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:38:53.879Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:38:53.879Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:38:53.879Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:38:53.879Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22511.287 ms) ======
[2025-12-17T20:38:53.879Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-17T20:38:53.879Z] GC before operation: completed in 204.655 ms, heap usage 127.158 MB -> 89.720 MB.
[2025-12-17T20:38:56.901Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:38:59.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:39:02.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:39:04.908Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:39:07.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:39:08.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:39:10.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:39:11.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:39:12.750Z] 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.
[2025-12-17T20:39:12.750Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:39:12.750Z] Top recommended movies for user id 72:
[2025-12-17T20:39:12.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:39:12.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:39:12.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:39:12.750Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:39:12.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:39:12.750Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18523.370 ms) ======
[2025-12-17T20:39:12.750Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-17T20:39:12.750Z] GC before operation: completed in 155.876 ms, heap usage 278.606 MB -> 88.623 MB.
[2025-12-17T20:39:15.768Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:39:17.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:39:20.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:39:23.762Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:39:24.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:39:26.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:39:28.647Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:39:29.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:39:30.557Z] 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.
[2025-12-17T20:39:30.557Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:39:30.557Z] Top recommended movies for user id 72:
[2025-12-17T20:39:30.557Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:39:30.557Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:39:30.557Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:39:30.557Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:39:30.557Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:39:30.557Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17511.516 ms) ======
[2025-12-17T20:39:30.557Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-17T20:39:30.557Z] GC before operation: completed in 154.860 ms, heap usage 130.091 MB -> 89.127 MB.
[2025-12-17T20:39:32.521Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:39:35.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:39:37.510Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:39:39.644Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:39:41.601Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:39:42.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:39:44.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:39:45.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:39:45.469Z] 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.
[2025-12-17T20:39:45.469Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:39:46.533Z] Top recommended movies for user id 72:
[2025-12-17T20:39:46.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:39:46.533Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:39:46.533Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:39:46.533Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:39:46.533Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:39:46.533Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15572.322 ms) ======
[2025-12-17T20:39:46.533Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-17T20:39:46.533Z] GC before operation: completed in 159.802 ms, heap usage 282.721 MB -> 89.603 MB.
[2025-12-17T20:39:48.493Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:39:50.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:39:53.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:39:56.314Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:39:57.266Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:39:59.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:40:00.180Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:40:02.138Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:40:02.138Z] 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.
[2025-12-17T20:40:02.138Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:40:03.093Z] Top recommended movies for user id 72:
[2025-12-17T20:40:03.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:40:03.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:40:03.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:40:03.093Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:40:03.094Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:40:03.094Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16369.184 ms) ======
[2025-12-17T20:40:03.094Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-17T20:40:03.094Z] GC before operation: completed in 158.325 ms, heap usage 293.825 MB -> 89.524 MB.
[2025-12-17T20:40:05.048Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:40:08.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:40:10.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:40:11.988Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:40:13.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:40:14.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:40:16.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:40:17.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:40:18.776Z] 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.
[2025-12-17T20:40:18.776Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:40:18.776Z] Top recommended movies for user id 72:
[2025-12-17T20:40:18.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:40:18.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:40:18.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:40:18.776Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:40:18.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:40:18.776Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16062.136 ms) ======
[2025-12-17T20:40:18.776Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-17T20:40:18.776Z] GC before operation: completed in 156.271 ms, heap usage 373.978 MB -> 89.998 MB.
[2025-12-17T20:40:21.797Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:40:23.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:40:25.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:40:28.745Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:40:29.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:40:31.659Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:40:32.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:40:34.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:40:34.572Z] 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.
[2025-12-17T20:40:34.572Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:40:34.572Z] Top recommended movies for user id 72:
[2025-12-17T20:40:34.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:40:34.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:40:34.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:40:34.572Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:40:34.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:40:34.572Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15806.383 ms) ======
[2025-12-17T20:40:34.572Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-17T20:40:34.572Z] GC before operation: completed in 139.611 ms, heap usage 374.290 MB -> 89.913 MB.
[2025-12-17T20:40:37.596Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:40:39.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:40:41.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:40:44.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:40:45.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:40:46.149Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:40:48.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:40:49.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:40:49.060Z] 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.
[2025-12-17T20:40:49.060Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:40:50.015Z] Top recommended movies for user id 72:
[2025-12-17T20:40:50.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:40:50.015Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:40:50.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:40:50.015Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:40:50.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:40:50.015Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14705.367 ms) ======
[2025-12-17T20:40:50.015Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-17T20:40:50.015Z] GC before operation: completed in 198.105 ms, heap usage 708.320 MB -> 93.800 MB.
[2025-12-17T20:40:51.972Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:40:53.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:40:56.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:40:58.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:41:00.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:41:01.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:41:03.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:41:04.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:41:04.751Z] 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.
[2025-12-17T20:41:04.751Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:41:05.706Z] Top recommended movies for user id 72:
[2025-12-17T20:41:05.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:41:05.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:41:05.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:41:05.706Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:41:05.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:41:05.706Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15563.221 ms) ======
[2025-12-17T20:41:05.706Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-17T20:41:05.706Z] GC before operation: completed in 160.188 ms, heap usage 302.136 MB -> 89.996 MB.
[2025-12-17T20:41:07.665Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:41:10.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:41:12.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:41:14.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:41:16.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:41:17.512Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:41:19.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:41:20.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:41:21.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-17T20:41:21.377Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:41:21.377Z] Top recommended movies for user id 72:
[2025-12-17T20:41:21.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:41:21.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:41:21.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:41:21.377Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:41:21.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:41:21.377Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15696.207 ms) ======
[2025-12-17T20:41:21.377Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-17T20:41:21.377Z] GC before operation: completed in 146.158 ms, heap usage 295.638 MB -> 90.160 MB.
[2025-12-17T20:41:23.334Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:41:26.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:41:29.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:41:31.326Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:41:32.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:41:34.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:41:35.193Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:41:37.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:41:37.153Z] 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.
[2025-12-17T20:41:37.153Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:41:37.153Z] Top recommended movies for user id 72:
[2025-12-17T20:41:37.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:41:37.153Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:41:37.153Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:41:37.153Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:41:37.153Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:41:37.153Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15700.121 ms) ======
[2025-12-17T20:41:37.153Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-17T20:41:37.153Z] GC before operation: completed in 135.784 ms, heap usage 294.827 MB -> 89.917 MB.
[2025-12-17T20:41:39.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:41:42.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:41:44.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:41:46.178Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:41:48.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:41:49.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:41:51.047Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:41:52.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:41:52.001Z] 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.
[2025-12-17T20:41:52.001Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:41:52.001Z] Top recommended movies for user id 72:
[2025-12-17T20:41:52.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:41:52.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:41:52.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:41:52.001Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:41:52.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:41:52.001Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15203.201 ms) ======
[2025-12-17T20:41:52.001Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-17T20:41:52.954Z] GC before operation: completed in 153.137 ms, heap usage 293.825 MB -> 90.055 MB.
[2025-12-17T20:41:54.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:41:56.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:41:59.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:42:01.852Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:42:03.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:42:04.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:42:06.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:42:07.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:42:07.680Z] 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.
[2025-12-17T20:42:08.638Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:42:08.638Z] Top recommended movies for user id 72:
[2025-12-17T20:42:08.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:42:08.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:42:08.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:42:08.638Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:42:08.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:42:08.638Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15764.844 ms) ======
[2025-12-17T20:42:08.638Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-17T20:42:08.638Z] GC before operation: completed in 144.257 ms, heap usage 370.378 MB -> 90.277 MB.
[2025-12-17T20:42:10.596Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:42:13.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:42:15.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:42:17.535Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:42:18.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:42:20.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:42:21.404Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:42:22.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:42:23.313Z] 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.
[2025-12-17T20:42:23.313Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:42:23.313Z] Top recommended movies for user id 72:
[2025-12-17T20:42:23.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:42:23.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:42:23.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:42:23.313Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:42:23.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:42:23.313Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14589.589 ms) ======
[2025-12-17T20:42:23.313Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-17T20:42:23.313Z] GC before operation: completed in 142.951 ms, heap usage 700.563 MB -> 93.707 MB.
[2025-12-17T20:42:25.270Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:42:27.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:42:29.194Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:42:32.219Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:42:33.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:42:34.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:42:37.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:42:37.361Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:42:37.361Z] 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.
[2025-12-17T20:42:37.361Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:42:37.361Z] Top recommended movies for user id 72:
[2025-12-17T20:42:37.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:42:37.361Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:42:37.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:42:37.361Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:42:37.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:42:37.361Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13989.665 ms) ======
[2025-12-17T20:42:37.361Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-17T20:42:37.361Z] GC before operation: completed in 168.064 ms, heap usage 835.597 MB -> 94.409 MB.
[2025-12-17T20:42:39.319Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:42:41.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:42:44.301Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:42:46.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:42:47.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:42:48.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:42:50.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:42:51.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:42:51.169Z] 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.
[2025-12-17T20:42:51.169Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:42:51.169Z] Top recommended movies for user id 72:
[2025-12-17T20:42:51.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:42:51.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:42:51.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:42:51.169Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:42:51.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:42:51.169Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14191.325 ms) ======
[2025-12-17T20:42:51.169Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-17T20:42:52.123Z] GC before operation: completed in 155.243 ms, heap usage 261.027 MB -> 90.081 MB.
[2025-12-17T20:42:54.081Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:42:56.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:42:58.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:42:59.962Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:43:00.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:43:02.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:43:03.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:43:05.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:43:05.799Z] 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.
[2025-12-17T20:43:05.799Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:43:05.799Z] Top recommended movies for user id 72:
[2025-12-17T20:43:05.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:43:05.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:43:05.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:43:05.799Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:43:05.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:43:05.799Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14143.144 ms) ======
[2025-12-17T20:43:05.799Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-17T20:43:05.799Z] GC before operation: completed in 193.983 ms, heap usage 144.816 MB -> 89.946 MB.
[2025-12-17T20:43:08.825Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:43:10.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:43:12.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:43:15.769Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:43:16.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:43:18.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:43:19.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:43:21.598Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:43:21.598Z] 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.
[2025-12-17T20:43:21.598Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:43:21.598Z] Top recommended movies for user id 72:
[2025-12-17T20:43:21.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:43:21.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:43:21.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:43:21.599Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:43:21.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:43:21.599Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15487.325 ms) ======
[2025-12-17T20:43:21.599Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-17T20:43:21.599Z] GC before operation: completed in 166.250 ms, heap usage 396.913 MB -> 90.233 MB.
[2025-12-17T20:43:24.484Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:43:26.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:43:28.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:43:31.435Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:43:32.388Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:43:34.346Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:43:35.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:43:37.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:43:37.260Z] 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.
[2025-12-17T20:43:37.260Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:43:37.260Z] Top recommended movies for user id 72:
[2025-12-17T20:43:37.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:43:37.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:43:37.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:43:37.261Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:43:37.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:43:37.261Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15613.352 ms) ======
[2025-12-17T20:43:37.261Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-17T20:43:37.261Z] GC before operation: completed in 151.738 ms, heap usage 402.713 MB -> 90.359 MB.
[2025-12-17T20:43:39.223Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-17T20:43:42.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-17T20:43:44.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-17T20:43:46.179Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-17T20:43:48.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-17T20:43:49.093Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-17T20:43:50.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-17T20:43:52.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-17T20:43:52.016Z] 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.
[2025-12-17T20:43:52.016Z] The best model improves the baseline by 14.52%.
[2025-12-17T20:43:52.016Z] Top recommended movies for user id 72:
[2025-12-17T20:43:52.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-17T20:43:52.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-17T20:43:52.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-17T20:43:52.016Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-17T20:43:52.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-17T20:43:52.016Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14470.998 ms) ======
[2025-12-17T20:43:52.016Z] -----------------------------------
[2025-12-17T20:43:52.016Z] renaissance-movie-lens_0_PASSED
[2025-12-17T20:43:52.016Z] -----------------------------------
[2025-12-17T20:43:52.970Z]
[2025-12-17T20:43:52.970Z] TEST TEARDOWN:
[2025-12-17T20:43:52.970Z] Nothing to be done for teardown.
[2025-12-17T20:43:52.970Z] renaissance-movie-lens_0 Finish Time: Wed Dec 17 20:43:51 2025 Epoch Time (ms): 1766004231953