renaissance-movie-lens_0
[2025-05-29T23:13:24.815Z] Running test renaissance-movie-lens_0 ...
[2025-05-29T23:13:24.815Z] ===============================================
[2025-05-29T23:13:24.815Z] renaissance-movie-lens_0 Start Time: Thu May 29 23:13:23 2025 Epoch Time (ms): 1748560403849
[2025-05-29T23:13:24.815Z] variation: NoOptions
[2025-05-29T23:13:24.815Z] JVM_OPTIONS:
[2025-05-29T23:13:24.815Z] { \
[2025-05-29T23:13:24.815Z] echo ""; echo "TEST SETUP:"; \
[2025-05-29T23:13:24.815Z] echo "Nothing to be done for setup."; \
[2025-05-29T23:13:24.815Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17485576105058/renaissance-movie-lens_0"; \
[2025-05-29T23:13:24.815Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17485576105058/renaissance-movie-lens_0"; \
[2025-05-29T23:13:24.815Z] echo ""; echo "TESTING:"; \
[2025-05-29T23:13:24.815Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17485576105058/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-29T23:13:24.815Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17485576105058/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-29T23:13:24.815Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-29T23:13:24.815Z] echo "Nothing to be done for teardown."; \
[2025-05-29T23:13:24.815Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17485576105058/TestTargetResult";
[2025-05-29T23:13:24.815Z]
[2025-05-29T23:13:24.815Z] TEST SETUP:
[2025-05-29T23:13:24.815Z] Nothing to be done for setup.
[2025-05-29T23:13:24.815Z]
[2025-05-29T23:13:24.815Z] TESTING:
[2025-05-29T23:13:26.195Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-05-29T23:13:26.195Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17485576105058/renaissance-movie-lens_0/launcher-231325-10966713858084789415/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-05-29T23:13:26.195Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-05-29T23:13:26.195Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-05-29T23:13:33.907Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads.
[2025-05-29T23:13:42.990Z] 23:13:42.467 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB.
[2025-05-29T23:13:46.113Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-29T23:13:47.239Z] Training: 60056, validation: 20285, test: 19854
[2025-05-29T23:13:47.239Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-29T23:13:47.239Z] GC before operation: completed in 281.825 ms, heap usage 217.142 MB -> 75.509 MB.
[2025-05-29T23:13:58.150Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:14:05.699Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:14:14.956Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:14:22.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:14:26.524Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:14:29.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:14:33.553Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:14:36.766Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:14:37.436Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:14:37.436Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:14:37.436Z] Top recommended movies for user id 72:
[2025-05-29T23:14:37.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:14:37.436Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:14:37.436Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:14:37.436Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:14:37.436Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:14:37.436Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (50667.402 ms) ======
[2025-05-29T23:14:37.436Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-29T23:14:38.186Z] GC before operation: completed in 601.404 ms, heap usage 176.048 MB -> 98.926 MB.
[2025-05-29T23:14:44.484Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:14:52.400Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:14:58.548Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:15:04.836Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:15:08.128Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:15:11.132Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:15:15.244Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:15:18.358Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:15:19.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:15:19.736Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:15:20.606Z] Top recommended movies for user id 72:
[2025-05-29T23:15:20.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:15:20.606Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:15:20.606Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:15:20.606Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:15:20.606Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:15:20.606Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (41120.806 ms) ======
[2025-05-29T23:15:20.606Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-29T23:15:20.606Z] GC before operation: completed in 388.316 ms, heap usage 213.668 MB -> 87.552 MB.
[2025-05-29T23:15:24.672Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:15:29.781Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:15:36.022Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:15:41.275Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:15:44.253Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:15:46.453Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:15:50.364Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:15:52.529Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:15:52.529Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:15:53.216Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:15:53.216Z] Top recommended movies for user id 72:
[2025-05-29T23:15:53.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:15:53.216Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:15:53.216Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:15:53.216Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:15:53.216Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:15:53.216Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (33350.387 ms) ======
[2025-05-29T23:15:53.216Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-29T23:15:53.216Z] GC before operation: completed in 300.991 ms, heap usage 160.336 MB -> 88.142 MB.
[2025-05-29T23:15:58.186Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:16:03.151Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:16:08.806Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:16:12.878Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:16:16.013Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:16:19.040Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:16:22.107Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:16:25.278Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:16:25.972Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:16:25.972Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:16:25.972Z] Top recommended movies for user id 72:
[2025-05-29T23:16:25.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:16:25.972Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:16:25.972Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:16:25.972Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:16:25.972Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:16:25.972Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32628.120 ms) ======
[2025-05-29T23:16:25.972Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-29T23:16:26.652Z] GC before operation: completed in 190.507 ms, heap usage 216.772 MB -> 88.553 MB.
[2025-05-29T23:16:31.736Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:16:37.809Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:16:44.073Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:16:49.697Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:16:53.826Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:16:55.331Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:16:59.284Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:17:01.486Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:17:02.205Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:17:02.205Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:17:02.857Z] Top recommended movies for user id 72:
[2025-05-29T23:17:02.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:17:02.857Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:17:02.857Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:17:02.857Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:17:02.857Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:17:02.857Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (36254.621 ms) ======
[2025-05-29T23:17:02.857Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-29T23:17:02.857Z] GC before operation: completed in 275.089 ms, heap usage 224.108 MB -> 88.530 MB.
[2025-05-29T23:17:07.865Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:17:12.883Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:17:16.814Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:17:20.902Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:17:23.883Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:17:26.939Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:17:29.672Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:17:32.829Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:17:33.528Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:17:33.528Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:17:33.528Z] Top recommended movies for user id 72:
[2025-05-29T23:17:33.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:17:33.528Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:17:33.528Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:17:33.528Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:17:33.528Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:17:33.528Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30811.105 ms) ======
[2025-05-29T23:17:33.528Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-29T23:17:34.190Z] GC before operation: completed in 367.010 ms, heap usage 349.924 MB -> 89.120 MB.
[2025-05-29T23:17:38.272Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:17:43.297Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:17:48.362Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:17:52.368Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:17:55.360Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:17:57.543Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:18:00.561Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:18:03.606Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:18:03.606Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:18:03.606Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:18:04.272Z] Top recommended movies for user id 72:
[2025-05-29T23:18:04.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:18:04.273Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:18:04.273Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:18:04.273Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:18:04.273Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:18:04.273Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30062.143 ms) ======
[2025-05-29T23:18:04.273Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-29T23:18:04.966Z] GC before operation: completed in 626.998 ms, heap usage 162.386 MB -> 88.782 MB.
[2025-05-29T23:18:10.939Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:18:16.231Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:18:21.356Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:18:26.268Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:18:27.625Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:18:30.763Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:18:33.835Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:18:37.004Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:18:37.682Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:18:37.682Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:18:38.377Z] Top recommended movies for user id 72:
[2025-05-29T23:18:38.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:18:38.377Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:18:38.377Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:18:38.377Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:18:38.377Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:18:38.377Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (33427.759 ms) ======
[2025-05-29T23:18:38.377Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-29T23:18:38.377Z] GC before operation: completed in 311.881 ms, heap usage 235.619 MB -> 89.125 MB.
[2025-05-29T23:18:43.521Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:18:48.626Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:18:54.823Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:18:57.945Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:19:01.100Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:19:03.224Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:19:07.225Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:19:09.416Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:19:09.416Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:19:10.090Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:19:10.090Z] Top recommended movies for user id 72:
[2025-05-29T23:19:10.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:19:10.090Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:19:10.090Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:19:10.090Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:19:10.090Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:19:10.090Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31681.593 ms) ======
[2025-05-29T23:19:10.090Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-29T23:19:10.090Z] GC before operation: completed in 232.181 ms, heap usage 382.307 MB -> 89.196 MB.
[2025-05-29T23:19:15.170Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:19:19.102Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:19:24.194Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:19:28.165Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:19:31.218Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:19:34.625Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:19:37.637Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:19:39.887Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:19:40.556Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:19:40.556Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:19:41.217Z] Top recommended movies for user id 72:
[2025-05-29T23:19:41.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:19:41.217Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:19:41.217Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:19:41.217Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:19:41.217Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:19:41.217Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30515.630 ms) ======
[2025-05-29T23:19:41.217Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-29T23:19:41.217Z] GC before operation: completed in 249.239 ms, heap usage 140.435 MB -> 88.956 MB.
[2025-05-29T23:19:46.316Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:19:50.317Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:19:55.290Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:19:58.358Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:20:02.406Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:20:04.554Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:20:07.556Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:20:10.642Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:20:10.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:20:11.325Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:20:11.325Z] Top recommended movies for user id 72:
[2025-05-29T23:20:11.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:20:11.325Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:20:11.325Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:20:11.325Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:20:11.325Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:20:11.325Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30018.612 ms) ======
[2025-05-29T23:20:11.325Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-29T23:20:11.325Z] GC before operation: completed in 316.895 ms, heap usage 358.372 MB -> 89.104 MB.
[2025-05-29T23:20:15.726Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:20:19.754Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:20:23.686Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:20:27.740Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:20:30.796Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:20:33.908Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:20:36.106Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:20:40.156Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:20:40.866Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:20:40.866Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:20:40.866Z] Top recommended movies for user id 72:
[2025-05-29T23:20:40.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:20:40.866Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:20:40.866Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:20:40.866Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:20:40.866Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:20:40.866Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29401.351 ms) ======
[2025-05-29T23:20:40.866Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-29T23:20:41.540Z] GC before operation: completed in 287.619 ms, heap usage 221.353 MB -> 89.104 MB.
[2025-05-29T23:20:46.818Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:20:50.803Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:20:57.029Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:21:01.567Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:21:04.677Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:21:07.906Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:21:10.983Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:21:13.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:21:13.886Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:21:13.886Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:21:13.886Z] Top recommended movies for user id 72:
[2025-05-29T23:21:13.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:21:13.886Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:21:13.886Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:21:13.886Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:21:13.886Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:21:13.886Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32714.947 ms) ======
[2025-05-29T23:21:13.886Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-29T23:21:14.612Z] GC before operation: completed in 450.619 ms, heap usage 221.414 MB -> 89.226 MB.
[2025-05-29T23:21:18.666Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:21:22.684Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:21:27.780Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:21:32.866Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:21:35.049Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:21:37.382Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:21:40.671Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:21:42.873Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:21:43.718Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:21:43.718Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:21:43.718Z] Top recommended movies for user id 72:
[2025-05-29T23:21:43.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:21:43.718Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:21:43.718Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:21:43.718Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:21:43.718Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:21:43.718Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29319.174 ms) ======
[2025-05-29T23:21:43.718Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-29T23:21:43.718Z] GC before operation: completed in 230.016 ms, heap usage 348.695 MB -> 89.303 MB.
[2025-05-29T23:21:47.724Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:21:52.123Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:21:56.179Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:22:00.560Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:22:02.914Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:22:05.143Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:22:07.384Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:22:09.557Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:22:10.226Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:22:10.226Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:22:10.226Z] Top recommended movies for user id 72:
[2025-05-29T23:22:10.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:22:10.226Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:22:10.226Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:22:10.226Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:22:10.226Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:22:10.227Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26205.592 ms) ======
[2025-05-29T23:22:10.227Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-29T23:22:10.227Z] GC before operation: completed in 237.577 ms, heap usage 176.616 MB -> 89.135 MB.
[2025-05-29T23:22:14.150Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:22:18.138Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:22:22.562Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:22:26.507Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:22:28.701Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:22:30.842Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:22:33.060Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:22:35.235Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:22:35.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:22:35.955Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:22:35.955Z] Top recommended movies for user id 72:
[2025-05-29T23:22:35.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:22:35.955Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:22:35.955Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:22:35.955Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:22:35.955Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:22:35.955Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25665.667 ms) ======
[2025-05-29T23:22:35.955Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-29T23:22:35.955Z] GC before operation: completed in 213.576 ms, heap usage 222.021 MB -> 89.139 MB.
[2025-05-29T23:22:39.859Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:22:43.807Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:22:47.708Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:22:50.693Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:22:53.758Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:22:55.567Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:22:58.733Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:23:00.101Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:23:00.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:23:00.780Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:23:00.781Z] Top recommended movies for user id 72:
[2025-05-29T23:23:00.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:23:00.781Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:23:00.781Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:23:00.781Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:23:00.781Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:23:00.781Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24528.310 ms) ======
[2025-05-29T23:23:00.781Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-29T23:23:00.781Z] GC before operation: completed in 211.249 ms, heap usage 226.284 MB -> 89.188 MB.
[2025-05-29T23:23:05.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:23:09.258Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:23:14.207Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:23:17.279Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:23:19.396Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:23:22.500Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:23:24.749Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:23:27.751Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:23:27.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:23:28.402Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:23:28.402Z] Top recommended movies for user id 72:
[2025-05-29T23:23:28.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:23:28.402Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:23:28.402Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:23:28.402Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:23:28.402Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:23:28.402Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27259.593 ms) ======
[2025-05-29T23:23:28.402Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-29T23:23:28.402Z] GC before operation: completed in 198.012 ms, heap usage 255.243 MB -> 89.085 MB.
[2025-05-29T23:23:32.412Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:23:36.326Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:23:41.780Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:23:44.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:23:46.921Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:23:49.922Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:23:52.958Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:23:55.236Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:23:55.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:23:55.885Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:23:55.886Z] Top recommended movies for user id 72:
[2025-05-29T23:23:55.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:23:55.886Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:23:55.886Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:23:55.886Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:23:55.886Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:23:55.886Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27764.811 ms) ======
[2025-05-29T23:23:55.886Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-29T23:23:56.563Z] GC before operation: completed in 222.550 ms, heap usage 228.298 MB -> 89.144 MB.
[2025-05-29T23:24:00.450Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T23:24:05.395Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T23:24:11.636Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T23:24:15.526Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T23:24:17.699Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T23:24:20.561Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T23:24:24.021Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T23:24:26.308Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T23:24:26.308Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-05-29T23:24:26.993Z] The best model improves the baseline by 14.34%.
[2025-05-29T23:24:26.993Z] Top recommended movies for user id 72:
[2025-05-29T23:24:26.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-29T23:24:26.993Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-29T23:24:26.993Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-29T23:24:26.993Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-29T23:24:26.993Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-29T23:24:26.993Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30483.325 ms) ======
[2025-05-29T23:24:27.680Z] -----------------------------------
[2025-05-29T23:24:27.681Z] renaissance-movie-lens_0_PASSED
[2025-05-29T23:24:27.681Z] -----------------------------------
[2025-05-29T23:24:27.681Z]
[2025-05-29T23:24:27.681Z] TEST TEARDOWN:
[2025-05-29T23:24:27.681Z] Nothing to be done for teardown.
[2025-05-29T23:24:27.681Z] renaissance-movie-lens_0 Finish Time: Thu May 29 23:24:27 2025 Epoch Time (ms): 1748561067246