renaissance-movie-lens_0
[2025-06-20T00:52:26.561Z] Running test renaissance-movie-lens_0 ...
[2025-06-20T00:52:26.561Z] ===============================================
[2025-06-20T00:52:26.561Z] renaissance-movie-lens_0 Start Time: Fri Jun 20 00:52:26 2025 Epoch Time (ms): 1750380746403
[2025-06-20T00:52:26.561Z] variation: NoOptions
[2025-06-20T00:52:26.561Z] JVM_OPTIONS:
[2025-06-20T00:52:26.561Z] { \
[2025-06-20T00:52:26.561Z] echo ""; echo "TEST SETUP:"; \
[2025-06-20T00:52:26.561Z] echo "Nothing to be done for setup."; \
[2025-06-20T00:52:26.561Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_1750379622224/renaissance-movie-lens_0"; \
[2025-06-20T00:52:26.561Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_1750379622224/renaissance-movie-lens_0"; \
[2025-06-20T00:52:26.561Z] echo ""; echo "TESTING:"; \
[2025-06-20T00:52:26.561Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_1750379622224/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-20T00:52:26.561Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_1750379622224/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-20T00:52:26.561Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-20T00:52:26.561Z] echo "Nothing to be done for teardown."; \
[2025-06-20T00:52:26.561Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_1750379622224/TestTargetResult";
[2025-06-20T00:52:26.561Z]
[2025-06-20T00:52:26.561Z] TEST SETUP:
[2025-06-20T00:52:26.561Z] Nothing to be done for setup.
[2025-06-20T00:52:26.561Z]
[2025-06-20T00:52:26.561Z] TESTING:
[2025-06-20T00:52:27.512Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-20T00:52:27.512Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/output_1750379622224/renaissance-movie-lens_0/launcher-005226-16141873640605016535/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-20T00:52:27.512Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-20T00:52:27.512Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-20T00:52:32.885Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-06-20T00:52:39.586Z] 00:52:38.265 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.
[2025-06-20T00:52:40.538Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-20T00:52:41.505Z] Training: 60056, validation: 20285, test: 19854
[2025-06-20T00:52:41.505Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-20T00:52:41.505Z] GC before operation: completed in 138.268 ms, heap usage 645.378 MB -> 75.881 MB.
[2025-06-20T00:52:46.878Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:52:49.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:52:52.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:52:55.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:52:57.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:52:59.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:53:01.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:53:02.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:53:03.710Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:53:03.710Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:53:03.710Z] Top recommended movies for user id 72:
[2025-06-20T00:53:03.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:53:03.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:53:03.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:53:03.710Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:53:03.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:53:03.710Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22338.404 ms) ======
[2025-06-20T00:53:03.710Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-20T00:53:03.710Z] GC before operation: completed in 146.842 ms, heap usage 378.954 MB -> 88.964 MB.
[2025-06-20T00:53:06.731Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:53:09.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:53:11.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:53:14.727Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:53:15.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:53:17.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:53:18.649Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:53:20.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:53:20.605Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:53:20.605Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:53:20.605Z] Top recommended movies for user id 72:
[2025-06-20T00:53:20.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:53:20.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:53:20.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:53:20.605Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:53:20.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:53:20.605Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16918.070 ms) ======
[2025-06-20T00:53:20.605Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-20T00:53:20.605Z] GC before operation: completed in 140.268 ms, heap usage 541.143 MB -> 88.957 MB.
[2025-06-20T00:53:23.628Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:53:25.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:53:28.587Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:53:30.551Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:53:32.511Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:53:33.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:53:35.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:53:36.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:53:36.370Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:53:36.370Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:53:36.370Z] Top recommended movies for user id 72:
[2025-06-20T00:53:36.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:53:36.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:53:36.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:53:36.370Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:53:36.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:53:36.370Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15846.211 ms) ======
[2025-06-20T00:53:36.370Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-20T00:53:37.322Z] GC before operation: completed in 144.998 ms, heap usage 515.944 MB -> 89.580 MB.
[2025-06-20T00:53:39.283Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:53:41.237Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:53:43.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:53:46.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:53:47.331Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:53:48.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:53:50.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:53:51.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:53:52.189Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:53:52.189Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:53:52.189Z] Top recommended movies for user id 72:
[2025-06-20T00:53:52.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:53:52.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:53:52.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:53:52.189Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:53:52.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:53:52.189Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15117.151 ms) ======
[2025-06-20T00:53:52.189Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-20T00:53:52.189Z] GC before operation: completed in 147.609 ms, heap usage 287.535 MB -> 89.691 MB.
[2025-06-20T00:53:54.156Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:53:57.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:53:59.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:54:01.099Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:54:03.058Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:54:04.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:54:05.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:54:07.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:54:07.923Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:54:07.923Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:54:07.923Z] Top recommended movies for user id 72:
[2025-06-20T00:54:07.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:54:07.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:54:07.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:54:07.923Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:54:07.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:54:07.923Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15982.876 ms) ======
[2025-06-20T00:54:07.923Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-20T00:54:07.923Z] GC before operation: completed in 157.684 ms, heap usage 292.696 MB -> 89.666 MB.
[2025-06-20T00:54:10.944Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:54:12.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:54:15.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:54:17.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:54:19.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:54:20.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:54:22.809Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:54:23.762Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:54:24.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:54:24.715Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:54:24.715Z] Top recommended movies for user id 72:
[2025-06-20T00:54:24.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:54:24.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:54:24.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:54:24.715Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:54:24.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:54:24.715Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16230.613 ms) ======
[2025-06-20T00:54:24.716Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-20T00:54:24.716Z] GC before operation: completed in 159.981 ms, heap usage 384.891 MB -> 90.172 MB.
[2025-06-20T00:54:26.668Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:54:30.468Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:54:31.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:54:34.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:54:35.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:54:37.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:54:38.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:54:40.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:54:40.274Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:54:40.274Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:54:40.274Z] Top recommended movies for user id 72:
[2025-06-20T00:54:40.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:54:40.274Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:54:40.274Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:54:40.274Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:54:40.274Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:54:40.274Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15556.258 ms) ======
[2025-06-20T00:54:40.274Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-20T00:54:40.274Z] GC before operation: completed in 203.009 ms, heap usage 240.606 MB -> 89.757 MB.
[2025-06-20T00:54:42.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:54:44.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:54:47.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:54:49.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:54:50.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:54:51.157Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:54:53.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:54:54.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:54:54.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:54:54.068Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:54:54.068Z] Top recommended movies for user id 72:
[2025-06-20T00:54:54.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:54:54.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:54:54.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:54:54.068Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:54:54.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:54:54.068Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14095.050 ms) ======
[2025-06-20T00:54:54.068Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-20T00:54:55.022Z] GC before operation: completed in 175.302 ms, heap usage 454.044 MB -> 90.347 MB.
[2025-06-20T00:54:56.975Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:54:58.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:55:01.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:55:03.898Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:55:04.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:55:06.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:55:07.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:55:08.716Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:55:09.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:55:09.668Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:55:09.668Z] Top recommended movies for user id 72:
[2025-06-20T00:55:09.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:55:09.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:55:09.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:55:09.668Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:55:09.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:55:09.668Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15009.339 ms) ======
[2025-06-20T00:55:09.668Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-20T00:55:09.668Z] GC before operation: completed in 140.789 ms, heap usage 373.116 MB -> 90.103 MB.
[2025-06-20T00:55:12.732Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:55:14.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:55:16.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:55:18.651Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:55:19.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:55:20.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:55:22.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:55:23.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:55:23.464Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:55:23.464Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:55:23.464Z] Top recommended movies for user id 72:
[2025-06-20T00:55:23.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:55:23.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:55:23.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:55:23.464Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:55:23.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:55:23.464Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13898.915 ms) ======
[2025-06-20T00:55:23.464Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-20T00:55:23.464Z] GC before operation: completed in 144.523 ms, heap usage 366.469 MB -> 90.338 MB.
[2025-06-20T00:55:26.483Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:55:27.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:55:30.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:55:31.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:55:33.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:55:34.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:55:35.093Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:55:37.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:55:37.047Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:55:37.047Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:55:37.047Z] Top recommended movies for user id 72:
[2025-06-20T00:55:37.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:55:37.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:55:37.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:55:37.047Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:55:37.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:55:37.047Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13278.682 ms) ======
[2025-06-20T00:55:37.047Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-20T00:55:37.047Z] GC before operation: completed in 138.346 ms, heap usage 447.779 MB -> 90.106 MB.
[2025-06-20T00:55:39.003Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:55:40.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:55:42.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:55:44.871Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:55:46.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:55:47.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:55:48.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:55:49.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:55:50.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:55:50.668Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:55:50.668Z] Top recommended movies for user id 72:
[2025-06-20T00:55:50.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:55:50.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:55:50.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:55:50.668Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:55:50.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:55:50.668Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13132.356 ms) ======
[2025-06-20T00:55:50.668Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-20T00:55:50.668Z] GC before operation: completed in 146.590 ms, heap usage 491.914 MB -> 90.457 MB.
[2025-06-20T00:55:52.623Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:55:54.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:55:56.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:55:59.584Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:56:00.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:56:02.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:56:03.448Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:56:04.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:56:05.353Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:56:05.353Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:56:05.353Z] Top recommended movies for user id 72:
[2025-06-20T00:56:05.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:56:05.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:56:05.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:56:05.353Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:56:05.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:56:05.353Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14565.971 ms) ======
[2025-06-20T00:56:05.353Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-20T00:56:05.353Z] GC before operation: completed in 139.423 ms, heap usage 431.931 MB -> 90.435 MB.
[2025-06-20T00:56:07.323Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:56:10.419Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:56:12.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:56:14.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:56:16.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:56:17.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:56:20.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:56:20.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:56:20.843Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:56:20.843Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:56:20.843Z] Top recommended movies for user id 72:
[2025-06-20T00:56:20.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:56:20.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:56:20.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:56:20.843Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:56:20.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:56:20.843Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15655.168 ms) ======
[2025-06-20T00:56:20.843Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-20T00:56:20.843Z] GC before operation: completed in 130.989 ms, heap usage 240.649 MB -> 89.969 MB.
[2025-06-20T00:56:23.861Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:56:25.824Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:56:27.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:56:29.737Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:56:31.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:56:32.654Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:56:34.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:56:36.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:56:36.611Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:56:36.611Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:56:36.611Z] Top recommended movies for user id 72:
[2025-06-20T00:56:36.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:56:36.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:56:36.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:56:36.611Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:56:36.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:56:36.611Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15210.796 ms) ======
[2025-06-20T00:56:36.611Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-20T00:56:36.611Z] GC before operation: completed in 130.016 ms, heap usage 299.905 MB -> 90.343 MB.
[2025-06-20T00:56:38.575Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:56:40.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:56:43.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:56:45.506Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:56:46.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:56:47.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:56:49.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:56:50.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:56:50.316Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:56:50.316Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:56:50.316Z] Top recommended movies for user id 72:
[2025-06-20T00:56:50.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:56:50.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:56:50.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:56:50.316Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:56:50.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:56:50.316Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14170.254 ms) ======
[2025-06-20T00:56:50.316Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-20T00:56:50.316Z] GC before operation: completed in 138.249 ms, heap usage 532.662 MB -> 90.490 MB.
[2025-06-20T00:56:53.343Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:56:55.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:56:57.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:56:59.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:57:01.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:57:02.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:57:04.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:57:05.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:57:05.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:57:05.102Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:57:06.055Z] Top recommended movies for user id 72:
[2025-06-20T00:57:06.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:57:06.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:57:06.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:57:06.055Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:57:06.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:57:06.055Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14852.156 ms) ======
[2025-06-20T00:57:06.055Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-20T00:57:06.055Z] GC before operation: completed in 128.537 ms, heap usage 118.959 MB -> 90.050 MB.
[2025-06-20T00:57:08.022Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:57:09.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:57:13.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:57:15.115Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:57:16.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:57:18.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:57:19.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:57:20.044Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:57:20.996Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:57:20.996Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:57:20.996Z] Top recommended movies for user id 72:
[2025-06-20T00:57:20.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:57:20.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:57:20.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:57:20.996Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:57:20.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:57:20.996Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15261.655 ms) ======
[2025-06-20T00:57:20.996Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-20T00:57:20.996Z] GC before operation: completed in 141.382 ms, heap usage 127.442 MB -> 89.835 MB.
[2025-06-20T00:57:22.952Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:57:26.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:57:27.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:57:29.935Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:57:30.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:57:31.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:57:33.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:57:34.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:57:34.811Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:57:34.811Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:57:34.811Z] Top recommended movies for user id 72:
[2025-06-20T00:57:34.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:57:34.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:57:34.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:57:34.811Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:57:34.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:57:34.811Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13802.767 ms) ======
[2025-06-20T00:57:34.811Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-20T00:57:34.811Z] GC before operation: completed in 119.328 ms, heap usage 364.712 MB -> 90.369 MB.
[2025-06-20T00:57:37.831Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-20T00:57:39.413Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-20T00:57:41.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-20T00:57:43.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-20T00:57:44.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-20T00:57:46.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-20T00:57:47.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-20T00:57:48.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-20T00:57:48.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-20T00:57:49.163Z] The best model improves the baseline by 14.52%.
[2025-06-20T00:57:49.163Z] Top recommended movies for user id 72:
[2025-06-20T00:57:49.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-20T00:57:49.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-20T00:57:49.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-20T00:57:49.163Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-20T00:57:49.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-20T00:57:49.163Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13805.163 ms) ======
[2025-06-20T00:57:49.163Z] -----------------------------------
[2025-06-20T00:57:49.163Z] renaissance-movie-lens_0_PASSED
[2025-06-20T00:57:49.163Z] -----------------------------------
[2025-06-20T00:57:49.163Z]
[2025-06-20T00:57:49.163Z] TEST TEARDOWN:
[2025-06-20T00:57:49.163Z] Nothing to be done for teardown.
[2025-06-20T00:57:49.163Z] renaissance-movie-lens_0 Finish Time: Fri Jun 20 00:57:48 2025 Epoch Time (ms): 1750381068775