renaissance-movie-lens_0
[2025-10-23T00:33:40.879Z] Running test renaissance-movie-lens_0 ...
[2025-10-23T00:33:40.879Z] ===============================================
[2025-10-23T00:33:40.879Z] renaissance-movie-lens_0 Start Time: Thu Oct 23 00:33:40 2025 Epoch Time (ms): 1761179620714
[2025-10-23T00:33:40.879Z] variation: NoOptions
[2025-10-23T00:33:40.879Z] JVM_OPTIONS:
[2025-10-23T00:33:40.879Z] { \
[2025-10-23T00:33:40.879Z] echo ""; echo "TEST SETUP:"; \
[2025-10-23T00:33:40.879Z] echo "Nothing to be done for setup."; \
[2025-10-23T00:33:40.879Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17611745521285/renaissance-movie-lens_0"; \
[2025-10-23T00:33:40.879Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17611745521285/renaissance-movie-lens_0"; \
[2025-10-23T00:33:40.879Z] echo ""; echo "TESTING:"; \
[2025-10-23T00:33:40.879Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_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_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17611745521285/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-23T00:33:40.880Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17611745521285/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-23T00:33:40.880Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-23T00:33:40.880Z] echo "Nothing to be done for teardown."; \
[2025-10-23T00:33:40.880Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17611745521285/TestTargetResult";
[2025-10-23T00:33:40.880Z]
[2025-10-23T00:33:40.880Z] TEST SETUP:
[2025-10-23T00:33:40.880Z] Nothing to be done for setup.
[2025-10-23T00:33:40.880Z]
[2025-10-23T00:33:40.880Z] TESTING:
[2025-10-23T00:33:43.448Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-23T00:33:43.448Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/output_17611745521285/renaissance-movie-lens_0/launcher-003341-9651507241579617965/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-23T00:33:43.448Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-23T00:33:43.448Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-23T00:34:07.479Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-23T00:34:34.432Z] 00:34:33.619 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-23T00:34:44.181Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-23T00:34:45.524Z] Training: 60056, validation: 20285, test: 19854
[2025-10-23T00:34:45.524Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-23T00:34:45.923Z] GC before operation: completed in 606.930 ms, heap usage 370.832 MB -> 76.022 MB.
[2025-10-23T00:35:14.750Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:35:26.425Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:35:37.426Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:35:49.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:35:55.467Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:36:01.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:36:08.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:36:14.890Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:36:15.281Z] 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.
[2025-10-23T00:36:15.671Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:36:16.498Z] Top recommended movies for user id 72:
[2025-10-23T00:36:16.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:36:16.498Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:36:16.498Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:36:16.498Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:36:16.498Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:36:16.498Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90582.129 ms) ======
[2025-10-23T00:36:16.498Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-23T00:36:18.172Z] GC before operation: completed in 1055.676 ms, heap usage 239.967 MB -> 87.814 MB.
[2025-10-23T00:36:29.731Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:36:39.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:36:48.870Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:36:58.426Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:37:03.712Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:37:09.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:37:16.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:37:21.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:37:21.735Z] 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.
[2025-10-23T00:37:21.735Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:37:22.593Z] Top recommended movies for user id 72:
[2025-10-23T00:37:22.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:37:22.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:37:22.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:37:22.593Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:37:22.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:37:22.593Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65002.777 ms) ======
[2025-10-23T00:37:22.593Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-23T00:37:23.478Z] GC before operation: completed in 958.281 ms, heap usage 209.699 MB -> 88.862 MB.
[2025-10-23T00:37:35.079Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:37:42.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:37:53.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:38:00.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:38:06.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:38:11.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:38:16.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:38:21.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:38:23.266Z] 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.
[2025-10-23T00:38:23.266Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:38:24.094Z] Top recommended movies for user id 72:
[2025-10-23T00:38:24.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:38:24.094Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:38:24.094Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:38:24.094Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:38:24.094Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:38:24.094Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (60520.225 ms) ======
[2025-10-23T00:38:24.094Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-23T00:38:25.616Z] GC before operation: completed in 812.954 ms, heap usage 122.736 MB -> 89.338 MB.
[2025-10-23T00:38:35.200Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:38:43.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:38:52.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:39:02.235Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:39:07.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:39:14.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:39:18.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:39:24.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:39:25.283Z] 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.
[2025-10-23T00:39:25.670Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:39:26.524Z] Top recommended movies for user id 72:
[2025-10-23T00:39:26.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:39:26.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:39:26.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:39:26.524Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:39:26.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:39:26.524Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (61327.345 ms) ======
[2025-10-23T00:39:26.524Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-23T00:39:26.920Z] GC before operation: completed in 758.345 ms, heap usage 313.753 MB -> 90.001 MB.
[2025-10-23T00:39:36.495Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:39:46.157Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:39:55.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:40:03.611Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:40:10.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:40:15.342Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:40:20.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:40:25.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:40:27.108Z] 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.
[2025-10-23T00:40:27.108Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:40:27.499Z] Top recommended movies for user id 72:
[2025-10-23T00:40:27.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:40:27.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:40:27.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:40:27.499Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:40:27.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:40:27.499Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60609.442 ms) ======
[2025-10-23T00:40:27.499Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-23T00:40:28.349Z] GC before operation: completed in 778.117 ms, heap usage 407.192 MB -> 90.070 MB.
[2025-10-23T00:40:37.923Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:40:47.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:40:55.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:41:05.006Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:41:09.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:41:14.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:41:20.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:41:25.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:41:25.980Z] 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.
[2025-10-23T00:41:25.980Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:41:26.821Z] Top recommended movies for user id 72:
[2025-10-23T00:41:26.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:41:26.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:41:26.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:41:26.821Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:41:26.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:41:26.821Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58350.056 ms) ======
[2025-10-23T00:41:26.821Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-23T00:41:27.669Z] GC before operation: completed in 775.812 ms, heap usage 137.509 MB -> 90.017 MB.
[2025-10-23T00:41:37.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:41:44.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:41:52.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:41:59.992Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:42:05.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:42:09.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:42:14.728Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:42:18.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:42:20.294Z] 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.
[2025-10-23T00:42:20.294Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:42:21.139Z] Top recommended movies for user id 72:
[2025-10-23T00:42:21.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:42:21.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:42:21.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:42:21.139Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:42:21.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:42:21.139Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53361.555 ms) ======
[2025-10-23T00:42:21.139Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-23T00:42:22.735Z] GC before operation: completed in 812.653 ms, heap usage 304.595 MB -> 90.395 MB.
[2025-10-23T00:42:30.616Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:42:38.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:42:48.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:42:55.966Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:43:00.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:43:05.849Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:43:11.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:43:16.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:43:16.739Z] 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.
[2025-10-23T00:43:16.739Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:43:17.583Z] Top recommended movies for user id 72:
[2025-10-23T00:43:17.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:43:17.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:43:17.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:43:17.583Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:43:17.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:43:17.583Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55811.947 ms) ======
[2025-10-23T00:43:17.583Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-23T00:43:18.435Z] GC before operation: completed in 768.952 ms, heap usage 161.611 MB -> 90.174 MB.
[2025-10-23T00:43:27.880Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:43:35.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:43:43.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:43:52.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:43:57.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:44:01.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:44:07.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:44:12.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:44:13.449Z] 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.
[2025-10-23T00:44:13.449Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:44:14.149Z] Top recommended movies for user id 72:
[2025-10-23T00:44:14.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:44:14.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:44:14.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:44:14.149Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:44:14.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:44:14.149Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55843.255 ms) ======
[2025-10-23T00:44:14.149Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-23T00:44:14.861Z] GC before operation: completed in 787.189 ms, heap usage 336.842 MB -> 90.353 MB.
[2025-10-23T00:44:23.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:44:32.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:44:41.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:44:48.750Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:44:53.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:44:58.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:45:03.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:45:08.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:45:09.394Z] 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.
[2025-10-23T00:45:09.394Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:45:10.105Z] Top recommended movies for user id 72:
[2025-10-23T00:45:10.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:45:10.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:45:10.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:45:10.105Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:45:10.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:45:10.105Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (55047.013 ms) ======
[2025-10-23T00:45:10.105Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-23T00:45:10.827Z] GC before operation: completed in 776.069 ms, heap usage 143.555 MB -> 90.247 MB.
[2025-10-23T00:45:19.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:45:28.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:45:37.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:45:45.174Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:45:49.898Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:45:54.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:46:00.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:46:05.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:46:06.140Z] 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.
[2025-10-23T00:46:06.140Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:46:06.838Z] Top recommended movies for user id 72:
[2025-10-23T00:46:06.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:46:06.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:46:06.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:46:06.838Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:46:06.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:46:06.838Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (56115.662 ms) ======
[2025-10-23T00:46:06.838Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-23T00:46:07.564Z] GC before operation: completed in 798.312 ms, heap usage 189.948 MB -> 90.118 MB.
[2025-10-23T00:46:16.414Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:46:24.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:46:31.753Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:46:40.624Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:46:45.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:46:50.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:46:55.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:47:01.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:47:01.922Z] 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.
[2025-10-23T00:47:01.922Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:47:02.623Z] Top recommended movies for user id 72:
[2025-10-23T00:47:02.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:47:02.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:47:02.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:47:02.623Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:47:02.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:47:02.623Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54845.755 ms) ======
[2025-10-23T00:47:02.623Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-23T00:47:03.326Z] GC before operation: completed in 789.799 ms, heap usage 159.391 MB -> 90.369 MB.
[2025-10-23T00:47:12.185Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:47:21.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:47:29.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:47:37.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:47:41.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:47:47.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:47:53.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:47:58.326Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:47:58.652Z] 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.
[2025-10-23T00:47:58.978Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:47:59.693Z] Top recommended movies for user id 72:
[2025-10-23T00:47:59.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:47:59.693Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:47:59.693Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:47:59.693Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:47:59.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:47:59.693Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (56279.634 ms) ======
[2025-10-23T00:47:59.693Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-23T00:48:00.412Z] GC before operation: completed in 796.256 ms, heap usage 131.476 MB -> 90.301 MB.
[2025-10-23T00:48:09.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:48:18.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:48:26.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:48:34.227Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:48:38.950Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:48:43.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:48:48.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:48:53.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:48:53.501Z] 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.
[2025-10-23T00:48:53.501Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:48:53.941Z] Top recommended movies for user id 72:
[2025-10-23T00:48:53.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:48:53.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:48:53.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:48:53.941Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:48:53.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:48:53.941Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (53574.826 ms) ======
[2025-10-23T00:48:53.941Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-23T00:48:54.659Z] GC before operation: completed in 845.990 ms, heap usage 718.166 MB -> 94.132 MB.
[2025-10-23T00:49:03.511Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:49:10.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:49:17.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:49:25.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:49:29.964Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:49:34.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:49:39.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:49:43.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:49:44.453Z] 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.
[2025-10-23T00:49:44.453Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:49:45.151Z] Top recommended movies for user id 72:
[2025-10-23T00:49:45.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:49:45.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:49:45.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:49:45.151Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:49:45.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:49:45.151Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50334.550 ms) ======
[2025-10-23T00:49:45.151Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-23T00:49:45.873Z] GC before operation: completed in 838.886 ms, heap usage 819.405 MB -> 94.543 MB.
[2025-10-23T00:49:54.736Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:50:01.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:50:09.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:50:18.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:50:22.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:50:26.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:50:32.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:50:36.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:50:37.404Z] 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.
[2025-10-23T00:50:37.404Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:50:38.122Z] Top recommended movies for user id 72:
[2025-10-23T00:50:38.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:50:38.122Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:50:38.122Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:50:38.122Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:50:38.122Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:50:38.122Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51923.138 ms) ======
[2025-10-23T00:50:38.122Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-23T00:50:38.849Z] GC before operation: completed in 852.989 ms, heap usage 991.740 MB -> 95.088 MB.
[2025-10-23T00:50:48.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:50:55.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:51:02.961Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:51:10.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:51:13.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:51:18.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:51:23.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:51:27.876Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:51:28.574Z] 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.
[2025-10-23T00:51:28.574Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:51:29.273Z] Top recommended movies for user id 72:
[2025-10-23T00:51:29.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:51:29.273Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:51:29.274Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:51:29.274Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:51:29.274Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:51:29.274Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50453.122 ms) ======
[2025-10-23T00:51:29.274Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-23T00:51:29.990Z] GC before operation: completed in 862.619 ms, heap usage 1.236 GB -> 96.095 MB.
[2025-10-23T00:51:38.853Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:51:46.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:51:54.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:52:00.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:52:06.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:52:11.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:52:16.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:52:20.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:52:21.595Z] 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.
[2025-10-23T00:52:21.595Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:52:22.293Z] Top recommended movies for user id 72:
[2025-10-23T00:52:22.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:52:22.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:52:22.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:52:22.293Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:52:22.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:52:22.293Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (52184.979 ms) ======
[2025-10-23T00:52:22.293Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-23T00:52:23.032Z] GC before operation: completed in 838.510 ms, heap usage 512.077 MB -> 90.820 MB.
[2025-10-23T00:52:32.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:52:39.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:52:46.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:52:54.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:52:58.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:53:03.152Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:53:08.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:53:13.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:53:13.016Z] 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.
[2025-10-23T00:53:13.016Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:53:13.718Z] Top recommended movies for user id 72:
[2025-10-23T00:53:13.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:53:13.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:53:13.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:53:13.718Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:53:13.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:53:13.718Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (50715.443 ms) ======
[2025-10-23T00:53:13.718Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-23T00:53:14.864Z] GC before operation: completed in 819.191 ms, heap usage 221.077 MB -> 90.454 MB.
[2025-10-23T00:53:23.729Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T00:53:31.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T00:53:37.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T00:53:45.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T00:53:49.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T00:53:53.543Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T00:53:58.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T00:54:02.978Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T00:54:03.676Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-23T00:54:03.676Z] The best model improves the baseline by 14.52%.
[2025-10-23T00:54:04.378Z] Top recommended movies for user id 72:
[2025-10-23T00:54:04.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T00:54:04.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T00:54:04.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T00:54:04.378Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T00:54:04.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T00:54:04.378Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49720.399 ms) ======
[2025-10-23T00:54:07.311Z] -----------------------------------
[2025-10-23T00:54:07.311Z] renaissance-movie-lens_0_PASSED
[2025-10-23T00:54:07.311Z] -----------------------------------
[2025-10-23T00:54:07.638Z]
[2025-10-23T00:54:07.638Z] TEST TEARDOWN:
[2025-10-23T00:54:07.638Z] Nothing to be done for teardown.
[2025-10-23T00:54:07.638Z] renaissance-movie-lens_0 Finish Time: Thu Oct 23 00:54:07 2025 Epoch Time (ms): 1761180847584