renaissance-movie-lens_0
[2026-02-06T08:37:27.627Z] Running test renaissance-movie-lens_0 ...
[2026-02-06T08:37:27.627Z] ===============================================
[2026-02-06T08:37:27.627Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 08:37:27 2026 Epoch Time (ms): 1770367047175
[2026-02-06T08:37:27.627Z] variation: NoOptions
[2026-02-06T08:37:27.627Z] JVM_OPTIONS:
[2026-02-06T08:37:27.627Z] { \
[2026-02-06T08:37:27.627Z] echo ""; echo "TEST SETUP:"; \
[2026-02-06T08:37:27.627Z] echo "Nothing to be done for setup."; \
[2026-02-06T08:37:27.627Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703658999511/renaissance-movie-lens_0"; \
[2026-02-06T08:37:27.627Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703658999511/renaissance-movie-lens_0"; \
[2026-02-06T08:37:27.627Z] echo ""; echo "TESTING:"; \
[2026-02-06T08:37:27.627Z] "/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_17703658999511/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-06T08:37:27.627Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703658999511/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-06T08:37:27.627Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-06T08:37:27.627Z] echo "Nothing to be done for teardown."; \
[2026-02-06T08:37:27.627Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17703658999511/TestTargetResult";
[2026-02-06T08:37:27.627Z]
[2026-02-06T08:37:27.627Z] TEST SETUP:
[2026-02-06T08:37:27.627Z] Nothing to be done for setup.
[2026-02-06T08:37:27.627Z]
[2026-02-06T08:37:27.627Z] TESTING:
[2026-02-06T08:37:28.406Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-06T08:37:28.406Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17703658999511/renaissance-movie-lens_0/launcher-083727-16743731060770746378/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-06T08:37:28.406Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-06T08:37:28.406Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-06T08:37:39.146Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-06T08:37:50.894Z] 08:37:50.274 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-06T08:37:54.336Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-06T08:37:55.109Z] Training: 60056, validation: 20285, test: 19854
[2026-02-06T08:37:55.109Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-06T08:37:55.109Z] GC before operation: completed in 277.250 ms, heap usage 363.528 MB -> 75.746 MB.
[2026-02-06T08:38:05.045Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:38:13.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:38:19.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:38:25.309Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:38:27.802Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:38:31.241Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:38:35.749Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:38:38.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:38:39.003Z] 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.
[2026-02-06T08:38:39.003Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:38:39.003Z] Top recommended movies for user id 72:
[2026-02-06T08:38:39.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:38:39.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:38:39.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:38:39.003Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:38:39.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:38:39.003Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (44089.030 ms) ======
[2026-02-06T08:38:39.003Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-06T08:38:39.784Z] GC before operation: completed in 310.583 ms, heap usage 368.473 MB -> 89.729 MB.
[2026-02-06T08:38:45.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:38:49.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:38:55.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:38:59.036Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:39:02.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:39:04.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:39:08.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:39:10.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:39:11.295Z] 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.
[2026-02-06T08:39:11.295Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:39:11.295Z] Top recommended movies for user id 72:
[2026-02-06T08:39:11.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:39:11.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:39:11.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:39:11.295Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:39:11.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:39:11.295Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31697.909 ms) ======
[2026-02-06T08:39:11.295Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-06T08:39:11.295Z] GC before operation: completed in 282.363 ms, heap usage 199.517 MB -> 88.402 MB.
[2026-02-06T08:39:16.927Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:39:21.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:39:25.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:39:30.423Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:39:33.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:39:35.511Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:39:38.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:39:40.821Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:39:40.821Z] 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.
[2026-02-06T08:39:40.821Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:39:40.821Z] Top recommended movies for user id 72:
[2026-02-06T08:39:40.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:39:40.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:39:40.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:39:40.821Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:39:40.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:39:40.821Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29482.109 ms) ======
[2026-02-06T08:39:40.821Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-06T08:39:41.594Z] GC before operation: completed in 297.240 ms, heap usage 512.447 MB -> 89.523 MB.
[2026-02-06T08:39:46.085Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:39:50.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:39:55.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:39:59.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:40:02.021Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:40:04.511Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:40:06.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:40:09.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:40:10.258Z] 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.
[2026-02-06T08:40:10.258Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:40:10.258Z] Top recommended movies for user id 72:
[2026-02-06T08:40:10.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:40:10.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:40:10.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:40:10.258Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:40:10.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:40:10.258Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28865.123 ms) ======
[2026-02-06T08:40:10.258Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-06T08:40:10.258Z] GC before operation: completed in 195.250 ms, heap usage 363.689 MB -> 89.625 MB.
[2026-02-06T08:40:15.880Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:40:19.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:40:23.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:40:28.814Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:40:31.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:40:33.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:40:36.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:40:38.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:40:38.763Z] 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.
[2026-02-06T08:40:38.763Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:40:39.528Z] Top recommended movies for user id 72:
[2026-02-06T08:40:39.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:40:39.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:40:39.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:40:39.528Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:40:39.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:40:39.528Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28644.781 ms) ======
[2026-02-06T08:40:39.528Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-06T08:40:39.528Z] GC before operation: completed in 208.950 ms, heap usage 437.633 MB -> 89.666 MB.
[2026-02-06T08:40:43.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:40:48.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:40:52.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:40:57.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:40:58.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:41:02.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:41:04.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:41:07.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:41:07.230Z] 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.
[2026-02-06T08:41:07.230Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:41:08.503Z] Top recommended movies for user id 72:
[2026-02-06T08:41:08.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:41:08.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:41:08.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:41:08.503Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:41:08.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:41:08.503Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28383.744 ms) ======
[2026-02-06T08:41:08.503Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-06T08:41:08.503Z] GC before operation: completed in 203.380 ms, heap usage 524.921 MB -> 90.153 MB.
[2026-02-06T08:41:12.940Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:41:16.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:41:20.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:41:25.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:41:27.707Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:41:30.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:41:33.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:41:35.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:41:35.994Z] 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.
[2026-02-06T08:41:35.994Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:41:36.757Z] Top recommended movies for user id 72:
[2026-02-06T08:41:36.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:41:36.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:41:36.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:41:36.757Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:41:36.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:41:36.758Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28586.559 ms) ======
[2026-02-06T08:41:36.758Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-06T08:41:36.758Z] GC before operation: completed in 251.292 ms, heap usage 427.948 MB -> 89.873 MB.
[2026-02-06T08:41:41.134Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:41:45.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:41:49.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:41:54.766Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:41:57.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:41:59.616Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:42:02.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:42:05.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:42:05.425Z] 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.
[2026-02-06T08:42:05.425Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:42:06.185Z] Top recommended movies for user id 72:
[2026-02-06T08:42:06.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:42:06.185Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:42:06.185Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:42:06.185Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:42:06.185Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:42:06.185Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (29138.155 ms) ======
[2026-02-06T08:42:06.185Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-06T08:42:06.185Z] GC before operation: completed in 231.772 ms, heap usage 426.611 MB -> 90.098 MB.
[2026-02-06T08:42:10.565Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:42:14.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:42:19.336Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:42:23.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:42:26.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:42:29.503Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:42:31.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:42:34.361Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:42:35.118Z] 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.
[2026-02-06T08:42:35.118Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:42:35.118Z] Top recommended movies for user id 72:
[2026-02-06T08:42:35.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:42:35.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:42:35.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:42:35.118Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:42:35.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:42:35.118Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (29026.730 ms) ======
[2026-02-06T08:42:35.118Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-06T08:42:35.118Z] GC before operation: completed in 210.067 ms, heap usage 306.648 MB -> 89.899 MB.
[2026-02-06T08:42:40.032Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:42:44.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:42:48.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:42:52.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:42:55.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:42:57.950Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:43:00.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:43:02.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:43:03.547Z] 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.
[2026-02-06T08:43:03.547Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:43:03.547Z] Top recommended movies for user id 72:
[2026-02-06T08:43:03.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:43:03.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:43:03.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:43:03.547Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:43:03.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:43:03.547Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28283.032 ms) ======
[2026-02-06T08:43:03.547Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-06T08:43:04.302Z] GC before operation: completed in 300.475 ms, heap usage 791.632 MB -> 93.951 MB.
[2026-02-06T08:43:08.675Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:43:13.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:43:17.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:43:20.814Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:43:24.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:43:26.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:43:28.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:43:31.203Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:43:31.203Z] 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.
[2026-02-06T08:43:32.017Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:43:32.017Z] Top recommended movies for user id 72:
[2026-02-06T08:43:32.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:43:32.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:43:32.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:43:32.017Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:43:32.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:43:32.017Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27824.205 ms) ======
[2026-02-06T08:43:32.017Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-06T08:43:32.017Z] GC before operation: completed in 250.349 ms, heap usage 365.149 MB -> 89.972 MB.
[2026-02-06T08:43:39.478Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:43:47.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:43:53.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:43:56.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:43:59.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:44:02.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:44:05.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:44:09.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:44:09.040Z] 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.
[2026-02-06T08:44:09.040Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:44:09.040Z] Top recommended movies for user id 72:
[2026-02-06T08:44:09.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:44:09.040Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:44:09.040Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:44:09.040Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:44:09.040Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:44:09.040Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (37069.904 ms) ======
[2026-02-06T08:44:09.040Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-06T08:44:09.040Z] GC before operation: completed in 226.440 ms, heap usage 427.721 MB -> 90.172 MB.
[2026-02-06T08:44:13.915Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:44:18.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:44:22.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:44:27.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:44:29.482Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:44:32.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:44:35.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:44:38.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:44:38.634Z] 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.
[2026-02-06T08:44:38.634Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:44:38.634Z] Top recommended movies for user id 72:
[2026-02-06T08:44:38.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:44:38.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:44:38.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:44:38.634Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:44:38.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:44:38.634Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (29533.077 ms) ======
[2026-02-06T08:44:38.634Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-06T08:44:39.385Z] GC before operation: completed in 275.144 ms, heap usage 453.328 MB -> 90.341 MB.
[2026-02-06T08:44:43.751Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:44:48.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:44:52.555Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:44:56.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:44:58.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:45:00.379Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:45:03.732Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:45:06.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:45:06.148Z] 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.
[2026-02-06T08:45:06.148Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:45:06.148Z] Top recommended movies for user id 72:
[2026-02-06T08:45:06.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:45:06.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:45:06.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:45:06.148Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:45:06.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:45:06.148Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27282.540 ms) ======
[2026-02-06T08:45:06.148Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-06T08:45:06.899Z] GC before operation: completed in 256.448 ms, heap usage 302.202 MB -> 90.026 MB.
[2026-02-06T08:45:11.285Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:45:14.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:45:19.035Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:45:23.416Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:45:26.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:45:28.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:45:31.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:45:34.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:45:34.130Z] 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.
[2026-02-06T08:45:34.884Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:45:34.884Z] Top recommended movies for user id 72:
[2026-02-06T08:45:34.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:45:34.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:45:34.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:45:34.884Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:45:34.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:45:34.884Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (28052.601 ms) ======
[2026-02-06T08:45:34.884Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-06T08:45:34.884Z] GC before operation: completed in 335.122 ms, heap usage 424.580 MB -> 90.337 MB.
[2026-02-06T08:45:39.317Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:45:43.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:45:48.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:45:52.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:45:54.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:45:57.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:46:00.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:46:03.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:46:03.244Z] 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.
[2026-02-06T08:46:03.244Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:46:04.001Z] Top recommended movies for user id 72:
[2026-02-06T08:46:04.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:46:04.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:46:04.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:46:04.001Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:46:04.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:46:04.001Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28697.041 ms) ======
[2026-02-06T08:46:04.001Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-06T08:46:04.001Z] GC before operation: completed in 208.330 ms, heap usage 428.780 MB -> 90.169 MB.
[2026-02-06T08:46:08.383Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:46:12.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:46:17.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:46:20.522Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:46:22.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:46:25.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:46:28.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:46:30.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:46:30.724Z] 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.
[2026-02-06T08:46:30.724Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:46:31.502Z] Top recommended movies for user id 72:
[2026-02-06T08:46:31.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:46:31.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:46:31.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:46:31.502Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:46:31.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:46:31.502Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (27302.093 ms) ======
[2026-02-06T08:46:31.502Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-06T08:46:31.502Z] GC before operation: completed in 222.529 ms, heap usage 385.220 MB -> 90.250 MB.
[2026-02-06T08:46:35.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:46:40.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:46:44.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:46:49.039Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:46:51.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:46:53.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:46:56.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:46:59.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:46:59.676Z] 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.
[2026-02-06T08:46:59.676Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:47:00.433Z] Top recommended movies for user id 72:
[2026-02-06T08:47:00.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:47:00.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:47:00.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:47:00.433Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:47:00.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:47:00.434Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28545.437 ms) ======
[2026-02-06T08:47:00.434Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-06T08:47:00.434Z] GC before operation: completed in 229.106 ms, heap usage 159.250 MB -> 89.823 MB.
[2026-02-06T08:47:04.839Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:47:09.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:47:13.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:47:18.084Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:47:20.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:47:22.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:47:26.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:47:28.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:47:29.470Z] 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.
[2026-02-06T08:47:29.470Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:47:29.470Z] Top recommended movies for user id 72:
[2026-02-06T08:47:29.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:47:29.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:47:29.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:47:29.470Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:47:29.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:47:29.470Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29085.003 ms) ======
[2026-02-06T08:47:29.470Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-06T08:47:29.470Z] GC before operation: completed in 283.726 ms, heap usage 128.546 MB -> 89.839 MB.
[2026-02-06T08:47:33.874Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T08:47:38.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T08:47:42.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T08:47:47.090Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T08:47:49.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T08:47:51.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T08:47:54.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T08:47:57.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T08:47:58.031Z] 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.
[2026-02-06T08:47:58.031Z] The best model improves the baseline by 14.52%.
[2026-02-06T08:47:58.031Z] Top recommended movies for user id 72:
[2026-02-06T08:47:58.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T08:47:58.031Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T08:47:58.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T08:47:58.031Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T08:47:58.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T08:47:58.031Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (28420.536 ms) ======
[2026-02-06T08:47:58.781Z] -----------------------------------
[2026-02-06T08:47:58.781Z] renaissance-movie-lens_0_PASSED
[2026-02-06T08:47:58.781Z] -----------------------------------
[2026-02-06T08:47:58.781Z]
[2026-02-06T08:47:58.781Z] TEST TEARDOWN:
[2026-02-06T08:47:58.781Z] Nothing to be done for teardown.
[2026-02-06T08:47:58.781Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 08:47:58 2026 Epoch Time (ms): 1770367678560