renaissance-movie-lens_0
[2026-02-13T10:52:12.976Z] Running test renaissance-movie-lens_0 ...
[2026-02-13T10:52:12.976Z] ===============================================
[2026-02-13T10:52:12.976Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 10:52:12 2026 Epoch Time (ms): 1770979932205
[2026-02-13T10:52:12.976Z] variation: NoOptions
[2026-02-13T10:52:12.976Z] JVM_OPTIONS:
[2026-02-13T10:52:12.976Z] { \
[2026-02-13T10:52:12.976Z] echo ""; echo "TEST SETUP:"; \
[2026-02-13T10:52:12.976Z] echo "Nothing to be done for setup."; \
[2026-02-13T10:52:12.976Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709791403260/renaissance-movie-lens_0"; \
[2026-02-13T10:52:12.976Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709791403260/renaissance-movie-lens_0"; \
[2026-02-13T10:52:12.976Z] echo ""; echo "TESTING:"; \
[2026-02-13T10:52:12.976Z] "/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_17709791403260/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-13T10:52:12.976Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709791403260/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-13T10:52:12.976Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-13T10:52:12.976Z] echo "Nothing to be done for teardown."; \
[2026-02-13T10:52:12.976Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17709791403260/TestTargetResult";
[2026-02-13T10:52:12.976Z]
[2026-02-13T10:52:12.976Z] TEST SETUP:
[2026-02-13T10:52:12.976Z] Nothing to be done for setup.
[2026-02-13T10:52:12.976Z]
[2026-02-13T10:52:12.976Z] TESTING:
[2026-02-13T10:52:12.976Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-13T10:52:12.976Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17709791403260/renaissance-movie-lens_0/launcher-105212-6915972033841923656/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-13T10:52:12.976Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-13T10:52:12.976Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-13T10:52:17.896Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-13T10:52:24.692Z] 10:52:24.285 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-13T10:52:26.269Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-13T10:52:27.031Z] Training: 60056, validation: 20285, test: 19854
[2026-02-13T10:52:27.031Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-13T10:52:27.031Z] GC before operation: completed in 128.230 ms, heap usage 305.241 MB -> 75.688 MB.
[2026-02-13T10:52:33.824Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:52:37.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:52:41.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:52:44.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:52:47.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:52:49.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:52:50.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:52:52.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:52:52.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T10:52:52.935Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:52:52.935Z] Top recommended movies for user id 72:
[2026-02-13T10:52:52.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:52:52.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:52:52.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:52:52.935Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:52:52.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:52:52.935Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25708.813 ms) ======
[2026-02-13T10:52:52.935Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-13T10:52:52.935Z] GC before operation: completed in 141.317 ms, heap usage 199.106 MB -> 94.718 MB.
[2026-02-13T10:52:56.309Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:52:58.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:53:02.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:53:04.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:53:07.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:53:08.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:53:11.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:53:11.999Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:53:12.764Z] 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.
[2026-02-13T10:53:12.764Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:53:12.764Z] Top recommended movies for user id 72:
[2026-02-13T10:53:12.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:53:12.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:53:12.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:53:12.764Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:53:12.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:53:12.764Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19847.011 ms) ======
[2026-02-13T10:53:12.764Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-13T10:53:12.764Z] GC before operation: completed in 114.488 ms, heap usage 104.765 MB -> 88.269 MB.
[2026-02-13T10:53:16.144Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:53:19.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:53:21.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:53:24.426Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:53:25.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:53:27.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:53:29.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:53:30.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:53:31.481Z] 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.
[2026-02-13T10:53:31.481Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:53:31.481Z] Top recommended movies for user id 72:
[2026-02-13T10:53:31.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:53:31.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:53:31.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:53:31.481Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:53:31.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:53:31.481Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18282.888 ms) ======
[2026-02-13T10:53:31.481Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-13T10:53:31.481Z] GC before operation: completed in 128.286 ms, heap usage 438.568 MB -> 89.383 MB.
[2026-02-13T10:53:33.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:53:37.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:53:39.753Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:53:44.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:53:49.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:53:49.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:53:54.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:53:56.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:53:56.691Z] 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.
[2026-02-13T10:53:56.691Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:53:56.691Z] Top recommended movies for user id 72:
[2026-02-13T10:53:56.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:53:56.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:53:56.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:53:56.691Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:53:56.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:53:56.691Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25609.657 ms) ======
[2026-02-13T10:53:56.691Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-13T10:53:57.448Z] GC before operation: completed in 119.805 ms, heap usage 420.544 MB -> 89.502 MB.
[2026-02-13T10:53:59.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:54:02.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:54:05.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:54:08.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:54:09.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:54:11.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:54:12.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:54:14.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:54:15.310Z] 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.
[2026-02-13T10:54:15.310Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:54:15.310Z] Top recommended movies for user id 72:
[2026-02-13T10:54:15.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:54:15.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:54:15.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:54:15.310Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:54:15.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:54:15.310Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18179.343 ms) ======
[2026-02-13T10:54:15.310Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-13T10:54:15.310Z] GC before operation: completed in 124.972 ms, heap usage 253.402 MB -> 89.334 MB.
[2026-02-13T10:54:17.741Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:54:21.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:54:23.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:54:25.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:54:27.206Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:54:28.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:54:30.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:54:31.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:54:31.928Z] 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.
[2026-02-13T10:54:31.928Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:54:31.928Z] Top recommended movies for user id 72:
[2026-02-13T10:54:31.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:54:31.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:54:31.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:54:31.928Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:54:31.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:54:31.928Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16276.554 ms) ======
[2026-02-13T10:54:31.928Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-13T10:54:31.928Z] GC before operation: completed in 122.402 ms, heap usage 215.007 MB -> 89.535 MB.
[2026-02-13T10:54:34.373Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:54:36.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:54:39.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:54:41.685Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:54:43.263Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:54:44.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:54:46.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:54:47.972Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:54:48.790Z] 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.
[2026-02-13T10:54:48.790Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:54:48.790Z] Top recommended movies for user id 72:
[2026-02-13T10:54:48.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:54:48.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:54:48.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:54:48.790Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:54:48.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:54:48.790Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16810.329 ms) ======
[2026-02-13T10:54:48.790Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-13T10:54:48.790Z] GC before operation: completed in 119.713 ms, heap usage 367.718 MB -> 89.715 MB.
[2026-02-13T10:54:51.242Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:54:53.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:54:57.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:54:59.495Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:55:01.073Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:55:02.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:55:03.911Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:55:06.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:55:06.356Z] 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.
[2026-02-13T10:55:06.356Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:55:06.356Z] Top recommended movies for user id 72:
[2026-02-13T10:55:06.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:55:06.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:55:06.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:55:06.356Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:55:06.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:55:06.356Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17537.786 ms) ======
[2026-02-13T10:55:06.356Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-13T10:55:06.356Z] GC before operation: completed in 121.270 ms, heap usage 399.141 MB -> 90.031 MB.
[2026-02-13T10:55:09.737Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:55:12.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:55:14.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:55:17.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:55:22.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:55:23.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:55:25.342Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:55:26.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:55:26.917Z] 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.
[2026-02-13T10:55:26.917Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:55:26.917Z] Top recommended movies for user id 72:
[2026-02-13T10:55:26.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:55:26.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:55:26.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:55:26.917Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:55:26.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:55:26.917Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20786.131 ms) ======
[2026-02-13T10:55:26.917Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-13T10:55:27.677Z] GC before operation: completed in 123.049 ms, heap usage 123.406 MB -> 89.542 MB.
[2026-02-13T10:55:30.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:55:32.558Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:55:34.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:55:37.433Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:55:39.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:55:39.788Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:55:41.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:55:42.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:55:43.691Z] 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.
[2026-02-13T10:55:43.691Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:55:43.691Z] Top recommended movies for user id 72:
[2026-02-13T10:55:43.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:55:43.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:55:43.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:55:43.691Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:55:43.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:55:43.691Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16184.225 ms) ======
[2026-02-13T10:55:43.691Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-13T10:55:43.691Z] GC before operation: completed in 129.425 ms, heap usage 526.347 MB -> 90.286 MB.
[2026-02-13T10:55:46.136Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:55:50.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:55:51.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:55:54.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:55:56.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:55:58.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:55:59.925Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:56:02.364Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:56:02.364Z] 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.
[2026-02-13T10:56:02.364Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:56:02.364Z] Top recommended movies for user id 72:
[2026-02-13T10:56:02.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:56:02.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:56:02.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:56:02.364Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:56:02.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:56:02.364Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19057.612 ms) ======
[2026-02-13T10:56:02.364Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-13T10:56:03.119Z] GC before operation: completed in 131.498 ms, heap usage 618.543 MB -> 93.359 MB.
[2026-02-13T10:56:06.499Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:56:08.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:56:12.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:56:13.883Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:56:16.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:56:17.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:56:19.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:56:21.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:56:21.039Z] 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.
[2026-02-13T10:56:21.039Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:56:21.039Z] Top recommended movies for user id 72:
[2026-02-13T10:56:21.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:56:21.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:56:21.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:56:21.039Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:56:21.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:56:21.039Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18305.893 ms) ======
[2026-02-13T10:56:21.039Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-13T10:56:21.039Z] GC before operation: completed in 113.642 ms, heap usage 405.587 MB -> 90.009 MB.
[2026-02-13T10:56:24.428Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:56:26.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:56:29.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:56:32.253Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:56:33.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:56:35.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:56:36.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:56:38.537Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:56:38.537Z] 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.
[2026-02-13T10:56:38.537Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:56:38.537Z] Top recommended movies for user id 72:
[2026-02-13T10:56:38.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:56:38.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:56:38.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:56:38.537Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:56:38.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:56:38.537Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17603.556 ms) ======
[2026-02-13T10:56:38.537Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-13T10:56:39.295Z] GC before operation: completed in 125.027 ms, heap usage 297.872 MB -> 90.011 MB.
[2026-02-13T10:56:41.740Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:56:45.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:56:47.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:56:50.019Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:56:51.693Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:56:53.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:56:54.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:56:56.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:56:56.410Z] 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.
[2026-02-13T10:56:56.410Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:56:56.410Z] Top recommended movies for user id 72:
[2026-02-13T10:56:56.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:56:56.410Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:56:56.410Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:56:56.410Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:56:56.410Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:56:56.410Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17523.635 ms) ======
[2026-02-13T10:56:56.410Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-13T10:56:56.410Z] GC before operation: completed in 116.464 ms, heap usage 516.469 MB -> 90.170 MB.
[2026-02-13T10:56:58.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:57:02.251Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:57:04.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:57:07.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:57:08.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:57:10.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:57:11.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:57:13.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:57:13.882Z] 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.
[2026-02-13T10:57:13.882Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:57:13.882Z] Top recommended movies for user id 72:
[2026-02-13T10:57:13.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:57:13.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:57:13.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:57:13.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:57:13.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:57:13.882Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17033.335 ms) ======
[2026-02-13T10:57:13.882Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-13T10:57:13.882Z] GC before operation: completed in 119.114 ms, heap usage 504.050 MB -> 90.412 MB.
[2026-02-13T10:57:16.322Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:57:18.757Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:57:21.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:57:23.642Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:57:26.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:57:26.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:57:29.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:57:30.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:57:30.821Z] 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.
[2026-02-13T10:57:30.821Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:57:30.821Z] Top recommended movies for user id 72:
[2026-02-13T10:57:30.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:57:30.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:57:30.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:57:30.821Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:57:30.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:57:30.821Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17002.072 ms) ======
[2026-02-13T10:57:30.821Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-13T10:57:30.821Z] GC before operation: completed in 113.413 ms, heap usage 94.531 MB -> 90.019 MB.
[2026-02-13T10:57:33.399Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:57:36.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:57:40.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:57:42.601Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:57:44.168Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:57:45.740Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:57:46.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:57:48.071Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:57:48.833Z] 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.
[2026-02-13T10:57:48.833Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:57:48.833Z] Top recommended movies for user id 72:
[2026-02-13T10:57:48.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:57:48.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:57:48.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:57:48.833Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:57:48.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:57:48.833Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17881.680 ms) ======
[2026-02-13T10:57:48.833Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-13T10:57:48.833Z] GC before operation: completed in 119.900 ms, heap usage 503.717 MB -> 90.389 MB.
[2026-02-13T10:57:51.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:57:54.193Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:57:56.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:57:59.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:58:00.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:58:02.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:58:03.768Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:58:05.336Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:58:05.336Z] 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.
[2026-02-13T10:58:06.100Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:58:06.100Z] Top recommended movies for user id 72:
[2026-02-13T10:58:06.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:58:06.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:58:06.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:58:06.100Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:58:06.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:58:06.100Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16984.516 ms) ======
[2026-02-13T10:58:06.100Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-13T10:58:06.100Z] GC before operation: completed in 120.345 ms, heap usage 385.814 MB -> 90.015 MB.
[2026-02-13T10:58:08.536Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:58:10.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:58:13.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:58:16.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:58:18.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:58:19.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:58:21.515Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:58:23.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:58:23.087Z] 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.
[2026-02-13T10:58:23.087Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:58:23.087Z] Top recommended movies for user id 72:
[2026-02-13T10:58:23.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:58:23.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:58:23.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:58:23.087Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:58:23.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:58:23.087Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17246.574 ms) ======
[2026-02-13T10:58:23.087Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-13T10:58:23.087Z] GC before operation: completed in 110.476 ms, heap usage 168.791 MB -> 89.846 MB.
[2026-02-13T10:58:26.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T10:58:28.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T10:58:33.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T10:58:36.270Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T10:58:37.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T10:58:39.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T10:58:40.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T10:58:45.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T10:58:45.394Z] 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.
[2026-02-13T10:58:45.394Z] The best model improves the baseline by 14.52%.
[2026-02-13T10:58:45.394Z] Top recommended movies for user id 72:
[2026-02-13T10:58:45.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T10:58:45.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T10:58:45.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T10:58:45.395Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T10:58:45.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T10:58:45.395Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22234.675 ms) ======
[2026-02-13T10:58:46.155Z] -----------------------------------
[2026-02-13T10:58:46.155Z] renaissance-movie-lens_0_PASSED
[2026-02-13T10:58:46.155Z] -----------------------------------
[2026-02-13T10:58:46.155Z]
[2026-02-13T10:58:46.155Z] TEST TEARDOWN:
[2026-02-13T10:58:46.155Z] Nothing to be done for teardown.
[2026-02-13T10:58:46.155Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 10:58:45 2026 Epoch Time (ms): 1770980325595