renaissance-movie-lens_0
[2025-12-24T22:41:48.538Z] Running test renaissance-movie-lens_0 ...
[2025-12-24T22:41:48.538Z] ===============================================
[2025-12-24T22:41:48.921Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 14:41:48 2025 Epoch Time (ms): 1766616108360
[2025-12-24T22:41:48.921Z] variation: NoOptions
[2025-12-24T22:41:48.921Z] JVM_OPTIONS:
[2025-12-24T22:41:48.921Z] { \
[2025-12-24T22:41:48.921Z] echo ""; echo "TEST SETUP:"; \
[2025-12-24T22:41:48.921Z] echo "Nothing to be done for setup."; \
[2025-12-24T22:41:48.921Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17666141482823/renaissance-movie-lens_0"; \
[2025-12-24T22:41:48.921Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17666141482823/renaissance-movie-lens_0"; \
[2025-12-24T22:41:48.921Z] echo ""; echo "TESTING:"; \
[2025-12-24T22:41:48.921Z] "/Users/admin/workspace/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17666141482823/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-24T22:41:48.921Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17666141482823/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-24T22:41:48.921Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-24T22:41:48.921Z] echo "Nothing to be done for teardown."; \
[2025-12-24T22:41:48.921Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17666141482823/TestTargetResult";
[2025-12-24T22:41:48.921Z]
[2025-12-24T22:41:48.921Z] TEST SETUP:
[2025-12-24T22:41:48.921Z] Nothing to be done for setup.
[2025-12-24T22:41:48.921Z]
[2025-12-24T22:41:48.921Z] TESTING:
[2025-12-24T22:41:55.505Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-24T22:42:05.435Z] 14:42:03.863 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-12-24T22:42:06.358Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-24T22:42:07.407Z] Training: 60056, validation: 20285, test: 19854
[2025-12-24T22:42:07.407Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-24T22:42:07.407Z] GC before operation: completed in 112.211 ms, heap usage 289.274 MB -> 75.069 MB.
[2025-12-24T22:42:19.518Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:42:25.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:42:32.025Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:42:38.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:42:41.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:42:45.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:42:48.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:42:52.618Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:42:53.454Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:42:53.454Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:42:53.454Z] Top recommended movies for user id 72:
[2025-12-24T22:42:53.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:42:53.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:42:53.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:42:53.455Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:42:53.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:42:53.455Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (45940.493 ms) ======
[2025-12-24T22:42:53.455Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-24T22:42:53.455Z] GC before operation: completed in 110.271 ms, heap usage 178.682 MB -> 85.721 MB.
[2025-12-24T22:43:00.202Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:43:07.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:43:13.587Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:43:20.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:43:23.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:43:26.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:43:31.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:43:35.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:43:35.876Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:43:35.876Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:43:36.255Z] Top recommended movies for user id 72:
[2025-12-24T22:43:36.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:43:36.255Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:43:36.255Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:43:36.255Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:43:36.255Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:43:36.255Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (42572.276 ms) ======
[2025-12-24T22:43:36.255Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-24T22:43:36.255Z] GC before operation: completed in 132.171 ms, heap usage 96.925 MB -> 88.185 MB.
[2025-12-24T22:43:42.935Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:43:50.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:43:56.430Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:44:01.932Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:44:05.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:44:08.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:44:10.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:44:15.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:44:15.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:44:15.937Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:44:16.359Z] Top recommended movies for user id 72:
[2025-12-24T22:44:16.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:44:16.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:44:16.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:44:16.360Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:44:16.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:44:16.360Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39931.523 ms) ======
[2025-12-24T22:44:16.360Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-24T22:44:16.360Z] GC before operation: completed in 113.829 ms, heap usage 771.250 MB -> 92.622 MB.
[2025-12-24T22:44:24.536Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:44:31.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:44:36.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:44:41.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:44:43.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:44:44.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:44:47.192Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:44:49.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:44:50.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:44:50.179Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:44:50.179Z] Top recommended movies for user id 72:
[2025-12-24T22:44:50.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:44:50.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:44:50.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:44:50.179Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:44:50.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:44:50.179Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33902.625 ms) ======
[2025-12-24T22:44:50.179Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-24T22:44:50.558Z] GC before operation: completed in 129.704 ms, heap usage 141.018 MB -> 93.948 MB.
[2025-12-24T22:44:56.034Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:45:00.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:45:05.137Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:45:09.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:45:12.740Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:45:14.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:45:17.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:45:20.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:45:20.790Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:45:20.790Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:45:21.209Z] Top recommended movies for user id 72:
[2025-12-24T22:45:21.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:45:21.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:45:21.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:45:21.209Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:45:21.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:45:21.209Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30688.794 ms) ======
[2025-12-24T22:45:21.209Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-24T22:45:21.209Z] GC before operation: completed in 183.400 ms, heap usage 519.698 MB -> 89.357 MB.
[2025-12-24T22:45:26.640Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:45:29.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:45:34.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:45:38.561Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:45:39.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:45:42.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:45:46.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:45:48.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:45:49.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:45:49.815Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:45:49.815Z] Top recommended movies for user id 72:
[2025-12-24T22:45:49.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:45:49.815Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:45:49.815Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:45:49.815Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:45:49.815Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:45:49.815Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28478.188 ms) ======
[2025-12-24T22:45:49.815Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-24T22:45:49.815Z] GC before operation: completed in 113.273 ms, heap usage 135.461 MB -> 89.155 MB.
[2025-12-24T22:45:55.287Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:45:59.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:46:05.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:46:08.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:46:12.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:46:14.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:46:17.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:46:21.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:46:22.701Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:46:22.701Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:46:23.111Z] Top recommended movies for user id 72:
[2025-12-24T22:46:23.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:46:23.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:46:23.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:46:23.111Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:46:23.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:46:23.111Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32852.006 ms) ======
[2025-12-24T22:46:23.111Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-24T22:46:23.111Z] GC before operation: completed in 97.766 ms, heap usage 158.058 MB -> 89.202 MB.
[2025-12-24T22:46:28.570Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:46:33.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:46:39.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:46:46.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:46:49.891Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:46:53.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:46:57.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:47:00.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:47:01.085Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:47:01.085Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:47:01.085Z] Top recommended movies for user id 72:
[2025-12-24T22:47:01.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:47:01.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:47:01.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:47:01.085Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:47:01.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:47:01.085Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (38322.364 ms) ======
[2025-12-24T22:47:01.085Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-24T22:47:01.512Z] GC before operation: completed in 96.239 ms, heap usage 270.713 MB -> 89.524 MB.
[2025-12-24T22:47:08.129Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:47:12.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:47:19.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:47:23.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:47:27.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:47:30.601Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:47:36.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:47:39.456Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:47:39.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:47:39.861Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:47:40.290Z] Top recommended movies for user id 72:
[2025-12-24T22:47:40.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:47:40.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:47:40.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:47:40.290Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:47:40.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:47:40.290Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (38775.906 ms) ======
[2025-12-24T22:47:40.290Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-24T22:47:40.820Z] GC before operation: completed in 257.156 ms, heap usage 271.936 MB -> 89.445 MB.
[2025-12-24T22:47:47.275Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:47:52.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:47:58.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:48:03.674Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:48:07.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:48:12.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:48:16.887Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:48:20.326Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:48:20.326Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:48:20.326Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:48:20.326Z] Top recommended movies for user id 72:
[2025-12-24T22:48:20.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:48:20.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:48:20.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:48:20.326Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:48:20.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:48:20.326Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (40158.861 ms) ======
[2025-12-24T22:48:20.326Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-24T22:48:20.699Z] GC before operation: completed in 103.217 ms, heap usage 307.622 MB -> 89.720 MB.
[2025-12-24T22:48:27.340Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:48:32.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:48:38.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:48:45.137Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:48:48.634Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:48:52.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:48:55.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:48:58.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:48:59.561Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:48:59.561Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:48:59.561Z] Top recommended movies for user id 72:
[2025-12-24T22:48:59.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:48:59.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:48:59.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:48:59.561Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:48:59.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:48:59.561Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (39010.866 ms) ======
[2025-12-24T22:48:59.561Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-24T22:48:59.561Z] GC before operation: completed in 131.060 ms, heap usage 170.849 MB -> 89.288 MB.
[2025-12-24T22:49:05.004Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:49:08.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:49:12.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:49:18.160Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:49:20.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:49:23.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:49:26.001Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:49:28.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:49:28.975Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:49:28.975Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:49:29.344Z] Top recommended movies for user id 72:
[2025-12-24T22:49:29.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:49:29.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:49:29.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:49:29.344Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:49:29.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:49:29.344Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29335.829 ms) ======
[2025-12-24T22:49:29.344Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-24T22:49:29.344Z] GC before operation: completed in 83.898 ms, heap usage 159.510 MB -> 89.507 MB.
[2025-12-24T22:49:34.622Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:49:39.828Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:49:44.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:49:48.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:49:50.455Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:49:53.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:49:56.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:50:00.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:50:00.195Z] 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.
[2025-12-24T22:50:00.195Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:50:00.195Z] Top recommended movies for user id 72:
[2025-12-24T22:50:00.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:50:00.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:50:00.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:50:00.195Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:50:00.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:50:00.195Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (31105.696 ms) ======
[2025-12-24T22:50:00.195Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-24T22:50:00.195Z] GC before operation: completed in 107.928 ms, heap usage 173.931 MB -> 89.611 MB.
[2025-12-24T22:50:05.547Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:50:09.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:50:13.232Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:50:17.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:50:19.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:50:23.086Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:50:25.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:50:29.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:50:29.556Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:50:29.556Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:50:30.632Z] Top recommended movies for user id 72:
[2025-12-24T22:50:30.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:50:30.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:50:30.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:50:30.633Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:50:30.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:50:30.633Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29489.898 ms) ======
[2025-12-24T22:50:30.633Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-24T22:50:30.633Z] GC before operation: completed in 551.784 ms, heap usage 690.317 MB -> 93.325 MB.
[2025-12-24T22:50:36.024Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:50:42.872Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:50:48.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:50:52.856Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:50:56.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:50:59.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:51:02.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:51:05.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:51:05.783Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:51:05.783Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:51:06.179Z] Top recommended movies for user id 72:
[2025-12-24T22:51:06.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:51:06.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:51:06.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:51:06.179Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:51:06.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:51:06.179Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (35610.037 ms) ======
[2025-12-24T22:51:06.179Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-24T22:51:06.179Z] GC before operation: completed in 115.894 ms, heap usage 1.193 GB -> 95.280 MB.
[2025-12-24T22:51:12.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:51:19.540Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:51:23.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:51:30.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:51:33.036Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:51:37.379Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:51:40.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:51:44.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:51:44.303Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:51:44.303Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:51:44.706Z] Top recommended movies for user id 72:
[2025-12-24T22:51:44.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:51:44.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:51:44.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:51:44.706Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:51:44.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:51:44.706Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (38443.070 ms) ======
[2025-12-24T22:51:44.706Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-24T22:51:44.706Z] GC before operation: completed in 90.045 ms, heap usage 275.474 MB -> 89.412 MB.
[2025-12-24T22:51:50.261Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:51:55.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:52:01.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:52:08.009Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:52:11.423Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:52:14.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:52:17.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:52:21.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:52:21.024Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:52:21.024Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:52:21.398Z] Top recommended movies for user id 72:
[2025-12-24T22:52:21.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:52:21.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:52:21.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:52:21.398Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:52:21.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:52:21.398Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (36671.539 ms) ======
[2025-12-24T22:52:21.398Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-24T22:52:21.398Z] GC before operation: completed in 103.696 ms, heap usage 352.724 MB -> 89.687 MB.
[2025-12-24T22:52:28.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:52:33.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:52:40.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:52:45.785Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:52:47.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:52:51.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:52:54.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:52:56.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:52:57.300Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:52:57.300Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:52:57.848Z] Top recommended movies for user id 72:
[2025-12-24T22:52:57.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:52:57.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:52:57.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:52:57.848Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:52:57.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:52:57.848Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (36257.142 ms) ======
[2025-12-24T22:52:57.848Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-24T22:52:58.301Z] GC before operation: completed in 652.644 ms, heap usage 910.342 MB -> 94.014 MB.
[2025-12-24T22:53:05.187Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:53:09.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:53:15.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:53:19.115Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:53:21.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:53:25.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:53:27.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:53:30.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:53:31.014Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:53:31.014Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:53:31.418Z] Top recommended movies for user id 72:
[2025-12-24T22:53:31.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:53:31.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:53:31.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:53:31.418Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:53:31.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:53:31.418Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (32963.129 ms) ======
[2025-12-24T22:53:31.418Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-24T22:53:31.418Z] GC before operation: completed in 87.096 ms, heap usage 103.097 MB -> 89.562 MB.
[2025-12-24T22:53:35.688Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:53:39.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:53:44.381Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:53:49.799Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:53:51.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:53:54.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:53:57.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:54:00.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:54:00.847Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:54:01.227Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:54:01.626Z] Top recommended movies for user id 72:
[2025-12-24T22:54:01.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:54:01.626Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:54:01.626Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:54:01.626Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:54:01.626Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:54:01.626Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30078.588 ms) ======
[2025-12-24T22:54:02.427Z] -----------------------------------
[2025-12-24T22:54:02.427Z] renaissance-movie-lens_0_PASSED
[2025-12-24T22:54:02.427Z] -----------------------------------
[2025-12-24T22:54:02.427Z]
[2025-12-24T22:54:02.427Z] TEST TEARDOWN:
[2025-12-24T22:54:02.427Z] Nothing to be done for teardown.
[2025-12-24T22:54:02.427Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 14:54:02 2025 Epoch Time (ms): 1766616842050