renaissance-movie-lens_0
[2026-01-31T11:27:40.454Z] Running test renaissance-movie-lens_0 ...
[2026-01-31T11:27:40.454Z] ===============================================
[2026-01-31T11:27:40.454Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 11:27:40 2026 Epoch Time (ms): 1769858860284
[2026-01-31T11:27:40.454Z] variation: NoOptions
[2026-01-31T11:27:40.454Z] JVM_OPTIONS:
[2026-01-31T11:27:40.454Z] { \
[2026-01-31T11:27:40.454Z] echo ""; echo "TEST SETUP:"; \
[2026-01-31T11:27:40.454Z] echo "Nothing to be done for setup."; \
[2026-01-31T11:27:40.454Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17698577087232/renaissance-movie-lens_0"; \
[2026-01-31T11:27:40.454Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17698577087232/renaissance-movie-lens_0"; \
[2026-01-31T11:27:40.454Z] echo ""; echo "TESTING:"; \
[2026-01-31T11:27:40.454Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17698577087232/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-31T11:27:40.454Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17698577087232/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-31T11:27:40.454Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-31T11:27:40.454Z] echo "Nothing to be done for teardown."; \
[2026-01-31T11:27:40.454Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17698577087232/TestTargetResult";
[2026-01-31T11:27:40.454Z]
[2026-01-31T11:27:40.454Z] TEST SETUP:
[2026-01-31T11:27:40.454Z] Nothing to be done for setup.
[2026-01-31T11:27:40.454Z]
[2026-01-31T11:27:40.454Z] TESTING:
[2026-01-31T11:27:41.192Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-31T11:27:41.192Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17698577087232/renaissance-movie-lens_0/launcher-112740-718796372949773347/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-31T11:27:41.192Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-31T11:27:41.192Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-31T11:27:49.199Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-31T11:28:00.520Z] 11:27:59.183 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-31T11:28:03.825Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-31T11:28:04.558Z] Training: 60056, validation: 20285, test: 19854
[2026-01-31T11:28:04.559Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-31T11:28:04.559Z] GC before operation: completed in 276.267 ms, heap usage 326.466 MB -> 75.650 MB.
[2026-01-31T11:28:14.663Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:28:21.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:28:27.980Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:28:33.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:28:36.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:28:40.091Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:28:43.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:28:46.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:28:46.675Z] 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.
[2026-01-31T11:28:46.675Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:28:47.412Z] Top recommended movies for user id 72:
[2026-01-31T11:28:47.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:28:47.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:28:47.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:28:47.412Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:28:47.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:28:47.413Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42692.458 ms) ======
[2026-01-31T11:28:47.413Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-31T11:28:47.413Z] GC before operation: completed in 208.827 ms, heap usage 300.408 MB -> 86.306 MB.
[2026-01-31T11:28:51.701Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:28:57.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:29:03.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:29:07.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:29:10.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:29:12.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:29:16.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:29:19.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:29:19.542Z] 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.
[2026-01-31T11:29:19.542Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:29:20.279Z] Top recommended movies for user id 72:
[2026-01-31T11:29:20.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:29:20.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:29:20.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:29:20.279Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:29:20.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:29:20.279Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (32525.212 ms) ======
[2026-01-31T11:29:20.279Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-31T11:29:20.279Z] GC before operation: completed in 265.558 ms, heap usage 435.104 MB -> 88.594 MB.
[2026-01-31T11:29:25.683Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:29:30.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:29:35.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:29:40.141Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:29:42.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:29:45.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:29:48.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:29:50.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:29:50.766Z] 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.
[2026-01-31T11:29:50.766Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:29:51.506Z] Top recommended movies for user id 72:
[2026-01-31T11:29:51.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:29:51.507Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:29:51.507Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:29:51.507Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:29:51.507Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:29:51.507Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31150.047 ms) ======
[2026-01-31T11:29:51.507Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-31T11:29:51.507Z] GC before operation: completed in 226.564 ms, heap usage 489.093 MB -> 89.377 MB.
[2026-01-31T11:29:55.802Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:30:00.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:30:04.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:30:08.792Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:30:12.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:30:14.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:30:18.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:30:21.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:30:21.857Z] 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.
[2026-01-31T11:30:21.857Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:30:21.857Z] Top recommended movies for user id 72:
[2026-01-31T11:30:21.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:30:21.857Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:30:21.857Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:30:21.857Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:30:21.857Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:30:21.857Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (30571.880 ms) ======
[2026-01-31T11:30:21.857Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-31T11:30:22.590Z] GC before operation: completed in 261.085 ms, heap usage 280.948 MB -> 89.434 MB.
[2026-01-31T11:30:27.073Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:30:33.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:30:39.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:30:42.398Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:30:44.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:30:48.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:30:50.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:30:52.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:30:53.526Z] 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.
[2026-01-31T11:30:53.526Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:30:53.526Z] Top recommended movies for user id 72:
[2026-01-31T11:30:53.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:30:53.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:30:53.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:30:53.526Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:30:53.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:30:53.526Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31231.583 ms) ======
[2026-01-31T11:30:53.526Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-31T11:30:53.526Z] GC before operation: completed in 227.941 ms, heap usage 305.356 MB -> 89.403 MB.
[2026-01-31T11:30:58.959Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:31:02.251Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:31:06.547Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:31:10.831Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:31:14.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:31:16.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:31:19.425Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:31:21.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:31:21.793Z] 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.
[2026-01-31T11:31:21.793Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:31:22.540Z] Top recommended movies for user id 72:
[2026-01-31T11:31:22.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:31:22.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:31:22.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:31:22.540Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:31:22.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:31:22.540Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28429.570 ms) ======
[2026-01-31T11:31:22.540Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-31T11:31:22.540Z] GC before operation: completed in 230.238 ms, heap usage 425.936 MB -> 89.795 MB.
[2026-01-31T11:31:26.840Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:31:32.260Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:31:36.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:31:40.885Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:31:44.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:31:46.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:31:48.940Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:31:51.315Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:31:52.057Z] 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.
[2026-01-31T11:31:52.057Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:31:52.057Z] Top recommended movies for user id 72:
[2026-01-31T11:31:52.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:31:52.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:31:52.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:31:52.057Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:31:52.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:31:52.057Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29754.403 ms) ======
[2026-01-31T11:31:52.057Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-31T11:31:52.794Z] GC before operation: completed in 241.687 ms, heap usage 134.614 MB -> 89.396 MB.
[2026-01-31T11:31:56.581Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:32:00.867Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:32:05.159Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:32:09.465Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:32:11.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:32:14.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:32:16.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:32:18.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:32:18.979Z] 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.
[2026-01-31T11:32:18.979Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:32:18.979Z] Top recommended movies for user id 72:
[2026-01-31T11:32:18.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:32:18.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:32:18.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:32:18.979Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:32:18.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:32:18.979Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26700.500 ms) ======
[2026-01-31T11:32:18.979Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-31T11:32:19.714Z] GC before operation: completed in 203.728 ms, heap usage 454.549 MB -> 90.022 MB.
[2026-01-31T11:32:24.001Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:32:28.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:32:32.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:32:36.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:32:39.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:32:41.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:32:44.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:32:47.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:32:47.001Z] 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.
[2026-01-31T11:32:47.001Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:32:47.743Z] Top recommended movies for user id 72:
[2026-01-31T11:32:47.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:32:47.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:32:47.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:32:47.743Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:32:47.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:32:47.743Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (28132.115 ms) ======
[2026-01-31T11:32:47.743Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-31T11:32:47.743Z] GC before operation: completed in 271.167 ms, heap usage 385.222 MB -> 89.811 MB.
[2026-01-31T11:32:52.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:32:56.325Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:33:00.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:33:04.931Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:33:07.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:33:10.583Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:33:12.950Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:33:15.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:33:15.327Z] 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.
[2026-01-31T11:33:16.074Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:33:16.074Z] Top recommended movies for user id 72:
[2026-01-31T11:33:16.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:33:16.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:33:16.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:33:16.074Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:33:16.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:33:16.074Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28101.654 ms) ======
[2026-01-31T11:33:16.074Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-31T11:33:16.074Z] GC before operation: completed in 284.431 ms, heap usage 112.557 MB -> 91.323 MB.
[2026-01-31T11:33:20.372Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:33:24.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:33:28.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:33:32.894Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:33:35.274Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:33:37.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:33:40.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:33:42.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:33:42.427Z] 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.
[2026-01-31T11:33:42.427Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:33:42.427Z] Top recommended movies for user id 72:
[2026-01-31T11:33:42.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:33:42.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:33:42.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:33:42.427Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:33:42.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:33:42.427Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26528.163 ms) ======
[2026-01-31T11:33:42.427Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-31T11:33:43.165Z] GC before operation: completed in 209.597 ms, heap usage 197.707 MB -> 89.510 MB.
[2026-01-31T11:33:47.514Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:33:51.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:33:55.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:33:59.412Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:34:01.780Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:34:04.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:34:06.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:34:09.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:34:09.879Z] 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.
[2026-01-31T11:34:09.879Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:34:09.879Z] Top recommended movies for user id 72:
[2026-01-31T11:34:09.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:34:09.879Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:34:09.879Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:34:09.879Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:34:09.879Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:34:09.879Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26787.907 ms) ======
[2026-01-31T11:34:09.879Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-31T11:34:09.879Z] GC before operation: completed in 199.399 ms, heap usage 481.368 MB -> 90.093 MB.
[2026-01-31T11:34:14.161Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:34:18.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:34:21.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:34:26.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:34:28.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:34:31.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:34:34.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:34:36.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:34:37.235Z] 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.
[2026-01-31T11:34:37.235Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:34:37.235Z] Top recommended movies for user id 72:
[2026-01-31T11:34:37.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:34:37.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:34:37.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:34:37.235Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:34:37.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:34:37.235Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (27433.255 ms) ======
[2026-01-31T11:34:37.235Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-31T11:34:37.971Z] GC before operation: completed in 252.161 ms, heap usage 129.002 MB -> 89.764 MB.
[2026-01-31T11:34:42.283Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:34:46.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:34:51.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:34:55.377Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:34:57.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:35:00.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:35:03.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:35:05.821Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:35:05.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-31T11:35:05.821Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:35:06.558Z] Top recommended movies for user id 72:
[2026-01-31T11:35:06.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:35:06.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:35:06.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:35:06.558Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:35:06.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:35:06.558Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28631.930 ms) ======
[2026-01-31T11:35:06.558Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-31T11:35:06.558Z] GC before operation: completed in 245.760 ms, heap usage 427.894 MB -> 89.980 MB.
[2026-01-31T11:35:10.857Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:35:14.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:35:19.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:35:22.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:35:26.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:35:28.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:35:31.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:35:33.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:35:34.585Z] 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.
[2026-01-31T11:35:34.585Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:35:34.585Z] Top recommended movies for user id 72:
[2026-01-31T11:35:34.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:35:34.585Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:35:34.585Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:35:34.585Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:35:34.585Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:35:34.585Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (28137.011 ms) ======
[2026-01-31T11:35:34.585Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-31T11:35:34.585Z] GC before operation: completed in 166.884 ms, heap usage 122.797 MB -> 89.771 MB.
[2026-01-31T11:35:38.872Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:35:43.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:35:46.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:35:50.736Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:35:53.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:35:55.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:35:57.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:36:00.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:36:00.213Z] 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.
[2026-01-31T11:36:00.213Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:36:00.213Z] Top recommended movies for user id 72:
[2026-01-31T11:36:00.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:36:00.213Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:36:00.213Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:36:00.213Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:36:00.213Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:36:00.213Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25543.938 ms) ======
[2026-01-31T11:36:00.213Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-31T11:36:00.946Z] GC before operation: completed in 233.486 ms, heap usage 620.378 MB -> 93.577 MB.
[2026-01-31T11:36:05.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:36:08.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:36:12.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:36:17.650Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:36:19.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:36:21.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:36:23.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:36:25.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:36:26.215Z] 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.
[2026-01-31T11:36:26.215Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:36:26.215Z] Top recommended movies for user id 72:
[2026-01-31T11:36:26.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:36:26.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:36:26.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:36:26.215Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:36:26.215Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:36:26.215Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25794.973 ms) ======
[2026-01-31T11:36:26.215Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-31T11:36:26.967Z] GC before operation: completed in 275.490 ms, heap usage 121.199 MB -> 89.743 MB.
[2026-01-31T11:36:31.252Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:36:34.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:36:38.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:36:43.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:36:46.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:36:48.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:36:52.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:36:54.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:36:55.227Z] 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.
[2026-01-31T11:36:55.227Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:36:55.227Z] Top recommended movies for user id 72:
[2026-01-31T11:36:55.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:36:55.227Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:36:55.227Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:36:55.227Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:36:55.227Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:36:55.227Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28752.658 ms) ======
[2026-01-31T11:36:55.227Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-31T11:36:55.964Z] GC before operation: completed in 197.684 ms, heap usage 180.443 MB -> 89.704 MB.
[2026-01-31T11:36:59.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:37:06.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:37:11.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:37:16.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:37:18.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:37:20.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:37:23.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:37:26.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:37:26.466Z] 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.
[2026-01-31T11:37:26.466Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:37:26.466Z] Top recommended movies for user id 72:
[2026-01-31T11:37:26.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:37:26.466Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:37:26.466Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:37:26.466Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:37:26.466Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:37:26.466Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30811.114 ms) ======
[2026-01-31T11:37:26.466Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-31T11:37:26.466Z] GC before operation: completed in 299.790 ms, heap usage 767.746 MB -> 93.811 MB.
[2026-01-31T11:37:30.749Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:37:35.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:37:38.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:37:42.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:37:46.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:37:47.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:37:50.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:37:52.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:37:52.387Z] 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.
[2026-01-31T11:37:52.387Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:37:53.147Z] Top recommended movies for user id 72:
[2026-01-31T11:37:53.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:37:53.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:37:53.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:37:53.147Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:37:53.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:37:53.147Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26132.411 ms) ======
[2026-01-31T11:37:53.880Z] -----------------------------------
[2026-01-31T11:37:53.880Z] renaissance-movie-lens_0_PASSED
[2026-01-31T11:37:53.880Z] -----------------------------------
[2026-01-31T11:37:53.880Z]
[2026-01-31T11:37:53.880Z] TEST TEARDOWN:
[2026-01-31T11:37:53.880Z] Nothing to be done for teardown.
[2026-01-31T11:37:53.880Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 11:37:53 2026 Epoch Time (ms): 1769859473321