renaissance-movie-lens_0
[2026-01-22T07:25:46.335Z] Running test renaissance-movie-lens_0 ...
[2026-01-22T07:25:46.335Z] ===============================================
[2026-01-22T07:25:46.335Z] renaissance-movie-lens_0 Start Time: Thu Jan 22 07:25:45 2026 Epoch Time (ms): 1769066745740
[2026-01-22T07:25:46.335Z] variation: NoOptions
[2026-01-22T07:25:46.335Z] JVM_OPTIONS:
[2026-01-22T07:25:46.335Z] { \
[2026-01-22T07:25:46.335Z] echo ""; echo "TEST SETUP:"; \
[2026-01-22T07:25:46.335Z] echo "Nothing to be done for setup."; \
[2026-01-22T07:25:46.335Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17690638376385/renaissance-movie-lens_0"; \
[2026-01-22T07:25:46.335Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17690638376385/renaissance-movie-lens_0"; \
[2026-01-22T07:25:46.335Z] echo ""; echo "TESTING:"; \
[2026-01-22T07:25:46.335Z] "/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_17690638376385/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-22T07:25:46.335Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17690638376385/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-22T07:25:46.335Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-22T07:25:46.335Z] echo "Nothing to be done for teardown."; \
[2026-01-22T07:25:46.335Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17690638376385/TestTargetResult";
[2026-01-22T07:25:46.335Z]
[2026-01-22T07:25:46.335Z] TEST SETUP:
[2026-01-22T07:25:46.335Z] Nothing to be done for setup.
[2026-01-22T07:25:46.335Z]
[2026-01-22T07:25:46.335Z] TESTING:
[2026-01-22T07:25:48.603Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-22T07:25:48.603Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/output_17690638376385/renaissance-movie-lens_0/launcher-072546-18410989761712080447/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-22T07:25:48.603Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-22T07:25:48.603Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-22T07:26:11.705Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-22T07:26:39.601Z] 07:26:39.577 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-22T07:26:50.469Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-22T07:26:52.154Z] Training: 60056, validation: 20285, test: 19854
[2026-01-22T07:26:52.154Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-22T07:26:52.886Z] GC before operation: completed in 571.778 ms, heap usage 359.265 MB -> 75.963 MB.
[2026-01-22T07:27:20.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:27:33.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:27:44.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:27:58.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:28:04.053Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:28:09.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:28:15.926Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:28:21.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:28:22.588Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:28:22.921Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:28:23.639Z] Top recommended movies for user id 72:
[2026-01-22T07:28:23.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:28:23.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:28:23.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:28:23.639Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:28:23.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:28:23.639Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90815.350 ms) ======
[2026-01-22T07:28:23.639Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-22T07:28:24.927Z] GC before operation: completed in 1027.325 ms, heap usage 535.886 MB -> 90.835 MB.
[2026-01-22T07:28:35.859Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:28:46.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:28:55.673Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:29:04.614Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:29:09.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:29:15.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:29:21.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:29:26.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:29:27.389Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:29:27.389Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:29:28.103Z] Top recommended movies for user id 72:
[2026-01-22T07:29:28.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:29:28.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:29:28.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:29:28.103Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:29:28.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:29:28.103Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (63458.304 ms) ======
[2026-01-22T07:29:28.103Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-22T07:29:29.273Z] GC before operation: completed in 928.136 ms, heap usage 283.078 MB -> 88.685 MB.
[2026-01-22T07:29:40.146Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:29:49.077Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:29:56.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:30:05.561Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:30:11.509Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:30:17.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:30:23.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:30:29.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:30:30.042Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:30:30.042Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:30:30.761Z] Top recommended movies for user id 72:
[2026-01-22T07:30:30.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:30:30.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:30:30.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:30:30.761Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:30:30.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:30:30.761Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (61657.047 ms) ======
[2026-01-22T07:30:30.761Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-22T07:30:31.503Z] GC before operation: completed in 760.211 ms, heap usage 360.840 MB -> 89.464 MB.
[2026-01-22T07:30:42.383Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:30:49.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:30:58.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:31:07.684Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:31:13.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:31:19.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:31:25.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:31:30.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:31:31.148Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:31:31.148Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:31:31.864Z] Top recommended movies for user id 72:
[2026-01-22T07:31:31.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:31:31.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:31:31.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:31:31.864Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:31:31.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:31:31.864Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (60452.485 ms) ======
[2026-01-22T07:31:31.864Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-22T07:31:32.598Z] GC before operation: completed in 750.024 ms, heap usage 185.626 MB -> 89.568 MB.
[2026-01-22T07:31:41.536Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:31:50.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:31:59.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:32:08.353Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:32:13.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:32:18.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:32:24.166Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:32:27.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:32:29.141Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:32:29.141Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:32:29.892Z] Top recommended movies for user id 72:
[2026-01-22T07:32:29.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:32:29.892Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:32:29.892Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:32:29.892Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:32:29.892Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:32:29.892Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57166.047 ms) ======
[2026-01-22T07:32:29.892Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-22T07:32:30.623Z] GC before operation: completed in 809.590 ms, heap usage 375.261 MB -> 89.818 MB.
[2026-01-22T07:32:41.541Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:32:47.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:32:56.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:33:03.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:33:07.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:33:12.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:33:18.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:33:22.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:33:22.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:33:22.984Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:33:23.704Z] Top recommended movies for user id 72:
[2026-01-22T07:33:23.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:33:23.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:33:23.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:33:23.704Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:33:23.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:33:23.704Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52949.808 ms) ======
[2026-01-22T07:33:23.704Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-22T07:33:24.438Z] GC before operation: completed in 867.663 ms, heap usage 1.269 GB -> 95.605 MB.
[2026-01-22T07:33:33.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:33:40.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:33:48.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:33:55.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:34:00.183Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:34:04.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:34:09.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:34:13.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:34:14.726Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:34:14.726Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:34:15.441Z] Top recommended movies for user id 72:
[2026-01-22T07:34:15.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:34:15.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:34:15.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:34:15.441Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:34:15.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:34:15.441Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (50934.559 ms) ======
[2026-01-22T07:34:15.441Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-22T07:34:16.171Z] GC before operation: completed in 825.693 ms, heap usage 531.031 MB -> 90.240 MB.
[2026-01-22T07:34:25.211Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:34:32.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:34:41.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:34:48.758Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:34:52.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:34:57.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:35:02.126Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:35:07.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:35:07.735Z] 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.
[2026-01-22T07:35:07.735Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:35:08.465Z] Top recommended movies for user id 72:
[2026-01-22T07:35:08.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:35:08.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:35:08.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:35:08.465Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:35:08.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:35:08.465Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (52018.051 ms) ======
[2026-01-22T07:35:08.465Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-22T07:35:09.192Z] GC before operation: completed in 789.183 ms, heap usage 371.723 MB -> 90.283 MB.
[2026-01-22T07:35:18.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:35:24.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:35:33.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:35:40.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:35:44.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:35:49.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:35:54.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:35:59.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:35:59.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:36:00.156Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:36:00.869Z] Top recommended movies for user id 72:
[2026-01-22T07:36:00.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:36:00.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:36:00.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:36:00.869Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:36:00.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:36:00.869Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51896.405 ms) ======
[2026-01-22T07:36:00.869Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-22T07:36:01.875Z] GC before operation: completed in 777.278 ms, heap usage 208.267 MB -> 89.881 MB.
[2026-01-22T07:36:10.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:36:18.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:36:27.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:36:36.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:36:40.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:36:45.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:36:50.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:36:56.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:36:56.781Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:36:56.781Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:36:57.498Z] Top recommended movies for user id 72:
[2026-01-22T07:36:57.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:36:57.498Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:36:57.498Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:36:57.498Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:36:57.498Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:36:57.498Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (55837.217 ms) ======
[2026-01-22T07:36:57.498Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-22T07:36:58.232Z] GC before operation: completed in 771.247 ms, heap usage 169.236 MB -> 90.108 MB.
[2026-01-22T07:37:07.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:37:16.171Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:37:23.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:37:30.766Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:37:36.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:37:41.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:37:46.339Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:37:51.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:37:52.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:37:52.267Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:37:52.994Z] Top recommended movies for user id 72:
[2026-01-22T07:37:52.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:37:52.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:37:52.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:37:52.994Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:37:52.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:37:52.994Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54654.607 ms) ======
[2026-01-22T07:37:52.994Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-22T07:37:53.726Z] GC before operation: completed in 878.970 ms, heap usage 299.075 MB -> 89.980 MB.
[2026-01-22T07:38:02.657Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:38:09.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:38:18.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:38:26.177Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:38:30.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:38:36.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:38:40.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:38:45.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:38:46.308Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:38:46.308Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:38:47.030Z] Top recommended movies for user id 72:
[2026-01-22T07:38:47.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:38:47.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:38:47.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:38:47.030Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:38:47.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:38:47.030Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (53058.317 ms) ======
[2026-01-22T07:38:47.030Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-22T07:38:47.762Z] GC before operation: completed in 806.229 ms, heap usage 452.479 MB -> 90.408 MB.
[2026-01-22T07:38:56.805Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:39:04.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:39:11.406Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:39:18.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:39:23.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:39:28.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:39:33.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:39:37.956Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:39:38.290Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:39:38.290Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:39:39.005Z] Top recommended movies for user id 72:
[2026-01-22T07:39:39.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:39:39.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:39:39.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:39:39.005Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:39:39.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:39:39.005Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51097.995 ms) ======
[2026-01-22T07:39:39.005Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-22T07:39:39.735Z] GC before operation: completed in 833.954 ms, heap usage 785.279 MB -> 94.174 MB.
[2026-01-22T07:39:48.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:39:55.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:40:04.886Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:40:10.930Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:40:15.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:40:20.482Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:40:25.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:40:29.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:40:29.763Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:40:29.763Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:40:30.475Z] Top recommended movies for user id 72:
[2026-01-22T07:40:30.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:40:30.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:40:30.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:40:30.475Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:40:30.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:40:30.475Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50790.243 ms) ======
[2026-01-22T07:40:30.475Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-22T07:40:31.211Z] GC before operation: completed in 855.956 ms, heap usage 1.188 GB -> 95.446 MB.
[2026-01-22T07:40:40.128Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:40:47.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:40:54.886Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:41:02.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:41:05.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:41:10.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:41:15.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:41:19.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:41:20.555Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:41:20.555Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:41:20.894Z] Top recommended movies for user id 72:
[2026-01-22T07:41:20.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:41:20.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:41:20.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:41:20.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:41:20.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:41:20.894Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49725.123 ms) ======
[2026-01-22T07:41:20.894Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-22T07:41:22.072Z] GC before operation: completed in 833.056 ms, heap usage 568.636 MB -> 93.891 MB.
[2026-01-22T07:41:31.203Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:41:38.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:41:45.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:41:53.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:41:56.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:42:01.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:42:07.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:42:12.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:42:13.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:42:13.377Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:42:14.092Z] Top recommended movies for user id 72:
[2026-01-22T07:42:14.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:42:14.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:42:14.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:42:14.092Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:42:14.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:42:14.092Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (52167.740 ms) ======
[2026-01-22T07:42:14.092Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-22T07:42:14.828Z] GC before operation: completed in 789.917 ms, heap usage 359.414 MB -> 90.215 MB.
[2026-01-22T07:42:23.779Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:42:31.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:42:38.420Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:42:47.377Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:42:51.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:42:57.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:43:01.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:43:06.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:43:07.480Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:43:07.480Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:43:08.204Z] Top recommended movies for user id 72:
[2026-01-22T07:43:08.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:43:08.204Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:43:08.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:43:08.204Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:43:08.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:43:08.204Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (53206.245 ms) ======
[2026-01-22T07:43:08.204Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-22T07:43:08.930Z] GC before operation: completed in 789.195 ms, heap usage 425.050 MB -> 90.500 MB.
[2026-01-22T07:43:17.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:43:25.165Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:43:34.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:43:41.417Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:43:46.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:43:50.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:43:55.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:44:01.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:44:02.021Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:44:02.352Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:44:03.066Z] Top recommended movies for user id 72:
[2026-01-22T07:44:03.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:44:03.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:44:03.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:44:03.066Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:44:03.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:44:03.066Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54175.051 ms) ======
[2026-01-22T07:44:03.066Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-22T07:44:03.799Z] GC before operation: completed in 795.264 ms, heap usage 128.342 MB -> 89.878 MB.
[2026-01-22T07:44:12.744Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:44:20.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:44:29.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:44:36.373Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:44:41.160Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:44:45.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:44:51.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:44:56.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:44:57.384Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:44:57.384Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:44:58.107Z] Top recommended movies for user id 72:
[2026-01-22T07:44:58.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:44:58.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:44:58.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:44:58.107Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:44:58.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:44:58.107Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (54232.689 ms) ======
[2026-01-22T07:44:58.107Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-22T07:44:58.833Z] GC before operation: completed in 791.174 ms, heap usage 148.271 MB -> 90.005 MB.
[2026-01-22T07:45:07.861Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-22T07:45:15.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-22T07:45:24.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-22T07:45:31.383Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-22T07:45:36.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-22T07:45:40.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-22T07:45:46.929Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-22T07:45:50.729Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-22T07:45:51.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-22T07:45:51.884Z] The best model improves the baseline by 14.52%.
[2026-01-22T07:45:52.613Z] Top recommended movies for user id 72:
[2026-01-22T07:45:52.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-22T07:45:52.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-22T07:45:52.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-22T07:45:52.614Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-22T07:45:52.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-22T07:45:52.614Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53764.117 ms) ======
[2026-01-22T07:45:55.582Z] -----------------------------------
[2026-01-22T07:45:55.582Z] renaissance-movie-lens_0_PASSED
[2026-01-22T07:45:55.582Z] -----------------------------------
[2026-01-22T07:45:55.582Z]
[2026-01-22T07:45:55.582Z] TEST TEARDOWN:
[2026-01-22T07:45:55.582Z] Nothing to be done for teardown.
[2026-01-22T07:45:55.922Z] renaissance-movie-lens_0 Finish Time: Thu Jan 22 07:45:55 2026 Epoch Time (ms): 1769067955601