renaissance-movie-lens_0
[2025-12-20T14:01:14.945Z] Running test renaissance-movie-lens_0 ...
[2025-12-20T14:01:14.945Z] ===============================================
[2025-12-20T14:01:14.945Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 14:01:14 2025 Epoch Time (ms): 1766239274024
[2025-12-20T14:01:14.945Z] variation: NoOptions
[2025-12-20T14:01:14.945Z] JVM_OPTIONS:
[2025-12-20T14:01:14.945Z] { \
[2025-12-20T14:01:14.945Z] echo ""; echo "TEST SETUP:"; \
[2025-12-20T14:01:14.945Z] echo "Nothing to be done for setup."; \
[2025-12-20T14:01:14.945Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662373074927/renaissance-movie-lens_0"; \
[2025-12-20T14:01:14.945Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662373074927/renaissance-movie-lens_0"; \
[2025-12-20T14:01:14.945Z] echo ""; echo "TESTING:"; \
[2025-12-20T14:01:14.945Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662373074927/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-20T14:01:14.945Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662373074927/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-20T14:01:14.945Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-20T14:01:14.945Z] echo "Nothing to be done for teardown."; \
[2025-12-20T14:01:14.945Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17662373074927/TestTargetResult";
[2025-12-20T14:01:14.945Z]
[2025-12-20T14:01:14.945Z] TEST SETUP:
[2025-12-20T14:01:14.945Z] Nothing to be done for setup.
[2025-12-20T14:01:14.945Z]
[2025-12-20T14:01:14.945Z] TESTING:
[2025-12-20T14:01:14.945Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-20T14:01:14.945Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17662373074927/renaissance-movie-lens_0/launcher-140114-13690592132735254424/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-20T14:01:14.945Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-20T14:01:14.945Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-20T14:01:24.775Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-20T14:01:38.372Z] 14:01:36.447 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.
[2025-12-20T14:01:40.350Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-20T14:01:41.323Z] Training: 60056, validation: 20285, test: 19854
[2025-12-20T14:01:41.323Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-20T14:01:42.279Z] GC before operation: completed in 281.261 ms, heap usage 187.058 MB -> 75.694 MB.
[2025-12-20T14:01:54.444Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:02:00.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:02:05.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:02:09.694Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:02:11.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:02:14.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:02:16.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:02:19.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:02:19.771Z] 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.
[2025-12-20T14:02:19.771Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:02:19.771Z] Top recommended movies for user id 72:
[2025-12-20T14:02:19.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:02:19.771Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:02:19.771Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:02:19.771Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:02:19.771Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:02:19.771Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38140.687 ms) ======
[2025-12-20T14:02:19.771Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-20T14:02:20.734Z] GC before operation: completed in 154.674 ms, heap usage 434.448 MB -> 86.577 MB.
[2025-12-20T14:02:23.773Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:02:26.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:02:31.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:02:34.103Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:02:36.079Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:02:39.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:02:41.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:02:43.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:02:44.678Z] 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.
[2025-12-20T14:02:44.678Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:02:44.678Z] Top recommended movies for user id 72:
[2025-12-20T14:02:44.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:02:44.678Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:02:44.678Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:02:44.678Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:02:44.678Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:02:44.678Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24074.728 ms) ======
[2025-12-20T14:02:44.678Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-20T14:02:44.678Z] GC before operation: completed in 258.126 ms, heap usage 450.699 MB -> 88.759 MB.
[2025-12-20T14:02:50.096Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:02:55.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:02:59.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:03:04.089Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:03:07.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:03:10.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:03:12.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:03:15.247Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:03:15.247Z] 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.
[2025-12-20T14:03:15.247Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:03:16.209Z] Top recommended movies for user id 72:
[2025-12-20T14:03:16.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:03:16.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:03:16.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:03:16.209Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:03:16.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:03:16.209Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31199.011 ms) ======
[2025-12-20T14:03:16.209Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-20T14:03:16.209Z] GC before operation: completed in 316.934 ms, heap usage 380.686 MB -> 89.197 MB.
[2025-12-20T14:03:20.415Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:03:24.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:03:30.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:03:34.061Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:03:37.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:03:39.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:03:42.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:03:45.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:03:45.268Z] 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.
[2025-12-20T14:03:45.268Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:03:46.230Z] Top recommended movies for user id 72:
[2025-12-20T14:03:46.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:03:46.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:03:46.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:03:46.230Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:03:46.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:03:46.230Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29642.426 ms) ======
[2025-12-20T14:03:46.230Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-20T14:03:46.230Z] GC before operation: completed in 293.979 ms, heap usage 324.733 MB -> 89.407 MB.
[2025-12-20T14:03:50.439Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:03:54.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:03:58.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:04:04.402Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:04:06.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:04:09.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:04:12.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:04:15.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:04:15.602Z] 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.
[2025-12-20T14:04:15.602Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:04:15.602Z] Top recommended movies for user id 72:
[2025-12-20T14:04:15.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:04:15.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:04:15.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:04:15.602Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:04:15.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:04:15.602Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (29639.406 ms) ======
[2025-12-20T14:04:15.602Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-20T14:04:15.602Z] GC before operation: completed in 299.688 ms, heap usage 338.309 MB -> 89.387 MB.
[2025-12-20T14:04:21.083Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:04:25.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:04:30.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:04:34.913Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:04:36.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:04:39.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:04:43.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:04:44.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:04:45.952Z] 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.
[2025-12-20T14:04:45.952Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:04:45.952Z] Top recommended movies for user id 72:
[2025-12-20T14:04:45.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:04:45.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:04:45.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:04:45.952Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:04:45.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:04:45.952Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30099.867 ms) ======
[2025-12-20T14:04:45.952Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-20T14:04:45.952Z] GC before operation: completed in 247.926 ms, heap usage 205.318 MB -> 89.517 MB.
[2025-12-20T14:04:51.369Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:04:54.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:04:58.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:05:03.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:05:05.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:05:06.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:05:08.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:05:10.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:05:10.666Z] 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.
[2025-12-20T14:05:10.666Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:05:11.625Z] Top recommended movies for user id 72:
[2025-12-20T14:05:11.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:05:11.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:05:11.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:05:11.625Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:05:11.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:05:11.625Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24874.842 ms) ======
[2025-12-20T14:05:11.625Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-20T14:05:11.625Z] GC before operation: completed in 206.354 ms, heap usage 291.997 MB -> 90.004 MB.
[2025-12-20T14:05:14.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:05:18.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:05:21.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:05:25.030Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:05:28.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:05:30.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:05:33.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:05:35.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:05:35.099Z] 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.
[2025-12-20T14:05:35.099Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:05:36.063Z] Top recommended movies for user id 72:
[2025-12-20T14:05:36.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:05:36.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:05:36.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:05:36.063Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:05:36.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:05:36.064Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24272.883 ms) ======
[2025-12-20T14:05:36.064Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-20T14:05:36.064Z] GC before operation: completed in 299.234 ms, heap usage 160.455 MB -> 90.616 MB.
[2025-12-20T14:05:40.280Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:05:44.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:05:48.704Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:05:52.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:05:54.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:05:56.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:05:59.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:06:01.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:06:01.470Z] 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.
[2025-12-20T14:06:01.470Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:06:02.434Z] Top recommended movies for user id 72:
[2025-12-20T14:06:02.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:06:02.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:06:02.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:06:02.434Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:06:02.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:06:02.434Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25978.161 ms) ======
[2025-12-20T14:06:02.434Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-20T14:06:02.434Z] GC before operation: completed in 304.278 ms, heap usage 190.326 MB -> 89.567 MB.
[2025-12-20T14:06:06.636Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:06:10.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:06:14.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:06:18.628Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:06:21.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:06:24.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:06:27.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:06:30.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:06:31.126Z] 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.
[2025-12-20T14:06:31.126Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:06:31.126Z] Top recommended movies for user id 72:
[2025-12-20T14:06:31.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:06:31.126Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:06:31.126Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:06:31.126Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:06:31.126Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:06:31.126Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28903.077 ms) ======
[2025-12-20T14:06:31.126Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-20T14:06:31.126Z] GC before operation: completed in 322.292 ms, heap usage 376.235 MB -> 92.468 MB.
[2025-12-20T14:06:36.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:06:41.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:06:44.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:06:49.065Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:06:51.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:06:53.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:06:57.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:06:59.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:06:59.258Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-20T14:06:59.259Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:07:00.222Z] Top recommended movies for user id 72:
[2025-12-20T14:07:00.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:07:00.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:07:00.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:07:00.222Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:07:00.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:07:00.222Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28213.220 ms) ======
[2025-12-20T14:07:00.222Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-20T14:07:00.222Z] GC before operation: completed in 258.105 ms, heap usage 99.075 MB -> 89.681 MB.
[2025-12-20T14:07:04.608Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:07:07.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:07:12.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:07:15.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:07:17.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:07:19.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:07:21.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:07:24.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:07:24.644Z] 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.
[2025-12-20T14:07:24.644Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:07:24.644Z] Top recommended movies for user id 72:
[2025-12-20T14:07:24.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:07:24.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:07:24.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:07:24.644Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:07:24.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:07:24.644Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24709.156 ms) ======
[2025-12-20T14:07:24.644Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-20T14:07:24.644Z] GC before operation: completed in 205.048 ms, heap usage 416.576 MB -> 90.092 MB.
[2025-12-20T14:07:29.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:07:32.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:07:37.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:07:40.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:07:42.534Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:07:44.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:07:46.799Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:07:49.838Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:07:49.838Z] 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.
[2025-12-20T14:07:49.838Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:07:49.838Z] Top recommended movies for user id 72:
[2025-12-20T14:07:49.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:07:49.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:07:49.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:07:49.838Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:07:49.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:07:49.838Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24886.439 ms) ======
[2025-12-20T14:07:49.838Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-20T14:07:49.838Z] GC before operation: completed in 189.024 ms, heap usage 423.003 MB -> 90.191 MB.
[2025-12-20T14:07:54.027Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:07:57.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:08:00.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:08:03.383Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:08:05.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:08:08.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:08:11.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:08:15.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:08:15.041Z] 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.
[2025-12-20T14:08:15.041Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:08:15.041Z] Top recommended movies for user id 72:
[2025-12-20T14:08:15.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:08:15.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:08:15.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:08:15.041Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:08:15.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:08:15.041Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25253.901 ms) ======
[2025-12-20T14:08:15.041Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-20T14:08:16.008Z] GC before operation: completed in 246.818 ms, heap usage 374.464 MB -> 89.901 MB.
[2025-12-20T14:08:20.366Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:08:25.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:08:29.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:08:34.409Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:08:36.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:08:38.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:08:41.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:08:43.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:08:44.552Z] 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.
[2025-12-20T14:08:44.552Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:08:44.552Z] Top recommended movies for user id 72:
[2025-12-20T14:08:44.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:08:44.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:08:44.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:08:44.552Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:08:44.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:08:44.552Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29342.554 ms) ======
[2025-12-20T14:08:44.552Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-20T14:08:45.668Z] GC before operation: completed in 247.179 ms, heap usage 131.974 MB -> 89.796 MB.
[2025-12-20T14:08:49.869Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:08:54.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:08:58.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:09:02.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:09:05.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:09:07.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:09:10.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:09:13.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:09:13.884Z] 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.
[2025-12-20T14:09:13.884Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:09:13.884Z] Top recommended movies for user id 72:
[2025-12-20T14:09:13.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:09:13.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:09:13.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:09:13.884Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:09:13.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:09:13.884Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (29201.334 ms) ======
[2025-12-20T14:09:13.884Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-20T14:09:14.853Z] GC before operation: completed in 320.818 ms, heap usage 131.380 MB -> 92.755 MB.
[2025-12-20T14:09:19.562Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:09:23.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:09:28.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:09:32.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:09:34.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:09:37.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:09:39.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:09:42.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:09:42.457Z] 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.
[2025-12-20T14:09:42.457Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:09:43.422Z] Top recommended movies for user id 72:
[2025-12-20T14:09:43.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:09:43.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:09:43.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:09:43.422Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:09:43.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:09:43.422Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (28296.969 ms) ======
[2025-12-20T14:09:43.422Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-20T14:09:43.422Z] GC before operation: completed in 241.061 ms, heap usage 409.380 MB -> 90.045 MB.
[2025-12-20T14:09:47.644Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:09:51.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:09:56.159Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:10:00.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:10:02.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:10:05.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:10:08.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:10:11.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:10:11.434Z] 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.
[2025-12-20T14:10:11.434Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:10:11.434Z] Top recommended movies for user id 72:
[2025-12-20T14:10:11.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:10:11.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:10:11.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:10:11.434Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:10:11.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:10:11.434Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28617.049 ms) ======
[2025-12-20T14:10:11.434Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-20T14:10:12.397Z] GC before operation: completed in 311.414 ms, heap usage 206.118 MB -> 89.642 MB.
[2025-12-20T14:10:16.729Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:10:20.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:10:25.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:10:29.601Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:10:31.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:10:34.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:10:36.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:10:40.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:10:40.128Z] 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.
[2025-12-20T14:10:40.128Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:10:40.128Z] Top recommended movies for user id 72:
[2025-12-20T14:10:40.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:10:40.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:10:40.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:10:40.128Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:10:40.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:10:40.128Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (28128.508 ms) ======
[2025-12-20T14:10:40.128Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-20T14:10:40.128Z] GC before operation: completed in 198.282 ms, heap usage 223.533 MB -> 89.809 MB.
[2025-12-20T14:10:44.323Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:10:48.554Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:10:52.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:10:57.043Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:10:59.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:11:01.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:11:04.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:11:06.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:11:07.518Z] 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.
[2025-12-20T14:11:07.518Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:11:07.518Z] Top recommended movies for user id 72:
[2025-12-20T14:11:07.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:11:07.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:11:07.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:11:07.518Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:11:07.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:11:07.518Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27147.985 ms) ======
[2025-12-20T14:11:09.501Z] -----------------------------------
[2025-12-20T14:11:09.501Z] renaissance-movie-lens_0_PASSED
[2025-12-20T14:11:09.501Z] -----------------------------------
[2025-12-20T14:11:09.501Z]
[2025-12-20T14:11:09.501Z] TEST TEARDOWN:
[2025-12-20T14:11:09.501Z] Nothing to be done for teardown.
[2025-12-20T14:11:09.501Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 14:11:08 2025 Epoch Time (ms): 1766239868530