renaissance-movie-lens_0
[2026-01-10T16:30:03.057Z] Running test renaissance-movie-lens_0 ...
[2026-01-10T16:30:03.057Z] ===============================================
[2026-01-10T16:30:03.057Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 11:30:02 2026 Epoch Time (ms): 1768062602903
[2026-01-10T16:30:03.507Z] variation: NoOptions
[2026-01-10T16:30:03.507Z] JVM_OPTIONS:
[2026-01-10T16:30:03.508Z] { \
[2026-01-10T16:30:03.508Z] echo ""; echo "TEST SETUP:"; \
[2026-01-10T16:30:03.508Z] echo "Nothing to be done for setup."; \
[2026-01-10T16:30:03.508Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680583032959/renaissance-movie-lens_0"; \
[2026-01-10T16:30:03.508Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680583032959/renaissance-movie-lens_0"; \
[2026-01-10T16:30:03.508Z] echo ""; echo "TESTING:"; \
[2026-01-10T16:30:03.508Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680583032959/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-10T16:30:03.508Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680583032959/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-10T16:30:03.508Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-10T16:30:03.508Z] echo "Nothing to be done for teardown."; \
[2026-01-10T16:30:03.508Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680583032959/TestTargetResult";
[2026-01-10T16:30:03.508Z]
[2026-01-10T16:30:03.508Z] TEST SETUP:
[2026-01-10T16:30:03.508Z] Nothing to be done for setup.
[2026-01-10T16:30:03.508Z]
[2026-01-10T16:30:03.508Z] TESTING:
[2026-01-10T16:30:06.059Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-10T16:30:06.059Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17680583032959/renaissance-movie-lens_0/launcher-113003-4465327470831865944/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-10T16:30:06.059Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-10T16:30:06.059Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-10T16:30:24.243Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-10T16:30:50.359Z] 11:30:49.053 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-10T16:30:57.006Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-10T16:30:57.620Z] Training: 60056, validation: 20285, test: 19854
[2026-01-10T16:30:57.620Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-10T16:30:58.034Z] GC before operation: completed in 324.285 ms, heap usage 391.859 MB -> 74.495 MB.
[2026-01-10T16:31:29.559Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:31:52.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:32:14.647Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:32:30.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:32:44.036Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:32:55.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:33:04.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:33:13.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:33:13.894Z] 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.
[2026-01-10T16:33:13.894Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:33:14.979Z] Top recommended movies for user id 72:
[2026-01-10T16:33:14.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:33:14.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:33:14.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:33:14.980Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:33:14.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:33:14.980Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (136802.896 ms) ======
[2026-01-10T16:33:14.980Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-10T16:33:15.519Z] GC before operation: completed in 527.671 ms, heap usage 630.401 MB -> 95.906 MB.
[2026-01-10T16:33:34.067Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:33:47.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:34:03.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:34:16.476Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:34:25.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:34:32.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:34:39.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:34:46.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:34:46.920Z] 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.
[2026-01-10T16:34:47.399Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:34:47.399Z] Top recommended movies for user id 72:
[2026-01-10T16:34:47.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:34:47.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:34:47.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:34:47.399Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:34:47.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:34:47.399Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (92136.564 ms) ======
[2026-01-10T16:34:47.399Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-10T16:34:48.772Z] GC before operation: completed in 1102.780 ms, heap usage 1.053 GB -> 92.224 MB.
[2026-01-10T16:35:04.511Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:35:20.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:35:39.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:35:50.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:35:58.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:36:06.864Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:36:14.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:36:22.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:36:23.195Z] 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.
[2026-01-10T16:36:23.195Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:36:23.195Z] Top recommended movies for user id 72:
[2026-01-10T16:36:23.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:36:23.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:36:23.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:36:23.195Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:36:23.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:36:23.195Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (94632.799 ms) ======
[2026-01-10T16:36:23.195Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-10T16:36:24.137Z] GC before operation: completed in 738.004 ms, heap usage 305.628 MB -> 87.902 MB.
[2026-01-10T16:36:37.700Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:36:52.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:37:03.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:37:19.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:37:28.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:37:37.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:37:44.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:37:52.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:37:52.647Z] 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.
[2026-01-10T16:37:52.647Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:37:53.062Z] Top recommended movies for user id 72:
[2026-01-10T16:37:53.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:37:53.062Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:37:53.062Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:37:53.062Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:37:53.062Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:37:53.062Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (89014.232 ms) ======
[2026-01-10T16:37:53.062Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-10T16:37:53.062Z] GC before operation: completed in 200.121 ms, heap usage 196.068 MB -> 88.030 MB.
[2026-01-10T16:38:06.025Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:38:21.593Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:38:32.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:38:45.463Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:38:53.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:39:00.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:39:06.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:39:19.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:39:19.273Z] 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.
[2026-01-10T16:39:19.273Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:39:19.894Z] Top recommended movies for user id 72:
[2026-01-10T16:39:19.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:39:19.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:39:19.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:39:19.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:39:19.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:39:19.894Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (86711.348 ms) ======
[2026-01-10T16:39:19.894Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-10T16:39:20.424Z] GC before operation: completed in 555.477 ms, heap usage 504.298 MB -> 88.463 MB.
[2026-01-10T16:39:35.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:39:48.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:40:00.752Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:40:13.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:40:21.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:40:32.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:40:46.495Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:40:54.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:40:55.583Z] 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.
[2026-01-10T16:40:55.583Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:40:56.193Z] Top recommended movies for user id 72:
[2026-01-10T16:40:56.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:40:56.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:40:56.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:40:56.193Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:40:56.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:40:56.193Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (95728.090 ms) ======
[2026-01-10T16:40:56.193Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-10T16:40:57.394Z] GC before operation: completed in 789.419 ms, heap usage 256.638 MB -> 88.586 MB.
[2026-01-10T16:41:13.357Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:41:29.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:41:42.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:41:56.198Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:42:04.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:42:11.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:42:20.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:42:30.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:42:30.889Z] 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.
[2026-01-10T16:42:31.434Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:42:31.991Z] Top recommended movies for user id 72:
[2026-01-10T16:42:31.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:42:31.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:42:31.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:42:31.991Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:42:31.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:42:31.991Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (94586.069 ms) ======
[2026-01-10T16:42:31.991Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-10T16:42:31.991Z] GC before operation: completed in 438.140 ms, heap usage 120.079 MB -> 88.663 MB.
[2026-01-10T16:42:47.700Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:43:04.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:43:19.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:43:32.719Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:43:40.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:43:49.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:43:55.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:44:08.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:44:10.587Z] 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.
[2026-01-10T16:44:10.587Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:44:11.059Z] Top recommended movies for user id 72:
[2026-01-10T16:44:11.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:44:11.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:44:11.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:44:11.059Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:44:11.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:44:11.059Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (98967.184 ms) ======
[2026-01-10T16:44:11.059Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-10T16:44:12.156Z] GC before operation: completed in 943.295 ms, heap usage 1.610 GB -> 94.724 MB.
[2026-01-10T16:44:30.873Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:44:41.922Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:44:54.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:45:07.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:45:16.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:45:23.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:45:29.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:45:35.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:45:35.879Z] 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.
[2026-01-10T16:45:36.390Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:45:36.902Z] Top recommended movies for user id 72:
[2026-01-10T16:45:36.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:45:36.902Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:45:36.902Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:45:36.902Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:45:36.902Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:45:36.902Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (84829.812 ms) ======
[2026-01-10T16:45:36.902Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-10T16:45:37.553Z] GC before operation: completed in 412.277 ms, heap usage 1.185 GB -> 93.960 MB.
[2026-01-10T16:45:56.431Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:46:10.439Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:46:26.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:46:39.994Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:46:45.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:46:53.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:47:01.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:47:08.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:47:09.882Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T16:47:10.382Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:47:10.383Z] Top recommended movies for user id 72:
[2026-01-10T16:47:10.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:47:10.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:47:10.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:47:10.383Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:47:10.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:47:10.383Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (93246.126 ms) ======
[2026-01-10T16:47:10.383Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-10T16:47:11.382Z] GC before operation: completed in 520.610 ms, heap usage 177.299 MB -> 90.950 MB.
[2026-01-10T16:47:29.880Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:47:43.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:47:57.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:48:11.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:48:22.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:48:33.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:48:41.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:48:49.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:48:50.525Z] 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.
[2026-01-10T16:48:50.525Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:48:50.981Z] Top recommended movies for user id 72:
[2026-01-10T16:48:50.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:48:50.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:48:50.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:48:50.981Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:48:50.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:48:50.981Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (99913.935 ms) ======
[2026-01-10T16:48:50.981Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-10T16:48:51.549Z] GC before operation: completed in 767.318 ms, heap usage 317.430 MB -> 88.738 MB.
[2026-01-10T16:49:09.979Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:49:23.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:49:36.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:49:48.934Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:49:57.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:50:07.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:50:14.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:50:22.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:50:23.655Z] 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.
[2026-01-10T16:50:23.655Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:50:24.889Z] Top recommended movies for user id 72:
[2026-01-10T16:50:24.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:50:24.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:50:24.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:50:24.889Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:50:24.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:50:24.889Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (93033.864 ms) ======
[2026-01-10T16:50:24.889Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-10T16:50:24.889Z] GC before operation: completed in 352.730 ms, heap usage 170.405 MB -> 88.663 MB.
[2026-01-10T16:50:40.537Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:50:51.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:51:04.371Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:51:19.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:51:27.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:51:37.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:51:45.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:51:52.993Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:51:52.993Z] 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.
[2026-01-10T16:51:52.993Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:51:53.677Z] Top recommended movies for user id 72:
[2026-01-10T16:51:53.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:51:53.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:51:53.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:51:53.677Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:51:53.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:51:53.677Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (88209.236 ms) ======
[2026-01-10T16:51:53.677Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-10T16:51:54.236Z] GC before operation: completed in 735.290 ms, heap usage 132.553 MB -> 93.027 MB.
[2026-01-10T16:52:07.822Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:52:23.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:52:32.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:52:44.836Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:52:52.587Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:52:59.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:53:06.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:53:13.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:53:14.211Z] 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.
[2026-01-10T16:53:14.211Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:53:14.211Z] Top recommended movies for user id 72:
[2026-01-10T16:53:14.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:53:14.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:53:14.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:53:14.211Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:53:14.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:53:14.211Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (80346.717 ms) ======
[2026-01-10T16:53:14.211Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-10T16:53:15.949Z] GC before operation: completed in 1191.890 ms, heap usage 931.543 MB -> 93.107 MB.
[2026-01-10T16:53:32.092Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:53:45.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:53:58.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:54:14.671Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:54:22.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:54:31.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:54:41.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:54:50.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:54:50.662Z] 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.
[2026-01-10T16:54:50.662Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:54:51.814Z] Top recommended movies for user id 72:
[2026-01-10T16:54:51.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:54:51.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:54:51.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:54:51.814Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:54:51.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:54:51.814Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (95919.444 ms) ======
[2026-01-10T16:54:51.814Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-10T16:54:51.814Z] GC before operation: completed in 295.278 ms, heap usage 279.758 MB -> 88.906 MB.
[2026-01-10T16:55:05.560Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:55:21.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:55:36.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:55:50.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:56:00.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:56:09.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:56:18.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:56:27.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:56:28.211Z] 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.
[2026-01-10T16:56:28.211Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:56:28.665Z] Top recommended movies for user id 72:
[2026-01-10T16:56:28.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:56:28.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:56:28.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:56:28.665Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:56:28.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:56:28.665Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (96837.991 ms) ======
[2026-01-10T16:56:28.665Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-10T16:56:28.665Z] GC before operation: completed in 221.490 ms, heap usage 205.975 MB -> 88.653 MB.
[2026-01-10T16:56:44.531Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:56:57.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:57:08.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:57:27.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:57:34.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:57:40.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:57:48.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:57:56.319Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:57:56.794Z] 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.
[2026-01-10T16:57:56.794Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:57:57.259Z] Top recommended movies for user id 72:
[2026-01-10T16:57:57.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:57:57.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:57:57.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:57:57.259Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:57:57.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:57:57.259Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (88348.758 ms) ======
[2026-01-10T16:57:57.259Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-10T16:57:57.801Z] GC before operation: completed in 557.579 ms, heap usage 258.662 MB -> 90.385 MB.
[2026-01-10T16:58:13.452Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T16:58:26.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T16:58:42.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T16:58:56.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T16:59:07.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T16:59:15.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T16:59:22.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T16:59:29.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T16:59:29.514Z] 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.
[2026-01-10T16:59:29.514Z] The best model improves the baseline by 14.52%.
[2026-01-10T16:59:30.037Z] Top recommended movies for user id 72:
[2026-01-10T16:59:30.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T16:59:30.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T16:59:30.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T16:59:30.037Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T16:59:30.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T16:59:30.037Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (92046.720 ms) ======
[2026-01-10T16:59:30.037Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-10T16:59:30.521Z] GC before operation: completed in 450.614 ms, heap usage 1.717 GB -> 94.673 MB.
[2026-01-10T16:59:45.892Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T17:00:04.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T17:00:17.632Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T17:00:35.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T17:00:42.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T17:00:52.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T17:01:01.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T17:01:10.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T17:01:11.313Z] 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.
[2026-01-10T17:01:11.313Z] The best model improves the baseline by 14.52%.
[2026-01-10T17:01:12.356Z] Top recommended movies for user id 72:
[2026-01-10T17:01:12.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T17:01:12.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T17:01:12.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T17:01:12.356Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T17:01:12.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T17:01:12.356Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (101718.035 ms) ======
[2026-01-10T17:01:12.356Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-10T17:01:12.356Z] GC before operation: completed in 359.112 ms, heap usage 280.120 MB -> 88.833 MB.
[2026-01-10T17:01:28.444Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T17:01:41.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T17:01:57.225Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T17:02:06.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T17:02:15.344Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T17:02:21.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T17:02:31.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T17:02:38.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T17:02:39.109Z] 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.
[2026-01-10T17:02:39.740Z] The best model improves the baseline by 14.52%.
[2026-01-10T17:02:40.219Z] Top recommended movies for user id 72:
[2026-01-10T17:02:40.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T17:02:40.219Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T17:02:40.219Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T17:02:40.219Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T17:02:40.219Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T17:02:40.219Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (87844.701 ms) ======
[2026-01-10T17:02:46.075Z] -----------------------------------
[2026-01-10T17:02:46.075Z] renaissance-movie-lens_0_PASSED
[2026-01-10T17:02:46.075Z] -----------------------------------
[2026-01-10T17:02:46.075Z]
[2026-01-10T17:02:46.075Z] TEST TEARDOWN:
[2026-01-10T17:02:46.075Z] Nothing to be done for teardown.
[2026-01-10T17:02:46.075Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 12:02:45 2026 Epoch Time (ms): 1768064565758