renaissance-movie-lens_0
[2025-08-30T11:18:14.940Z] Running test renaissance-movie-lens_0 ...
[2025-08-30T11:18:14.940Z] ===============================================
[2025-08-30T11:18:14.940Z] renaissance-movie-lens_0 Start Time: Sat Aug 30 11:18:14 2025 Epoch Time (ms): 1756552694335
[2025-08-30T11:18:14.940Z] variation: NoOptions
[2025-08-30T11:18:14.940Z] JVM_OPTIONS:
[2025-08-30T11:18:14.940Z] { \
[2025-08-30T11:18:14.940Z] echo ""; echo "TEST SETUP:"; \
[2025-08-30T11:18:14.940Z] echo "Nothing to be done for setup."; \
[2025-08-30T11:18:14.940Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17565519492103/renaissance-movie-lens_0"; \
[2025-08-30T11:18:14.941Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17565519492103/renaissance-movie-lens_0"; \
[2025-08-30T11:18:14.941Z] echo ""; echo "TESTING:"; \
[2025-08-30T11:18:14.941Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux_rerun/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_openjdk21_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17565519492103/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-30T11:18:14.941Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17565519492103/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-30T11:18:14.941Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-30T11:18:14.941Z] echo "Nothing to be done for teardown."; \
[2025-08-30T11:18:14.941Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17565519492103/TestTargetResult";
[2025-08-30T11:18:14.941Z]
[2025-08-30T11:18:14.941Z] TEST SETUP:
[2025-08-30T11:18:14.941Z] Nothing to be done for setup.
[2025-08-30T11:18:14.941Z]
[2025-08-30T11:18:14.941Z] TESTING:
[2025-08-30T11:18:23.089Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-08-30T11:18:36.625Z] 11:18:36.093 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.
[2025-08-30T11:18:40.772Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-30T11:18:41.733Z] Training: 60056, validation: 20285, test: 19854
[2025-08-30T11:18:41.733Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-30T11:18:41.733Z] GC before operation: completed in 219.986 ms, heap usage 256.714 MB -> 75.917 MB.
[2025-08-30T11:18:55.329Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:19:03.587Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:19:11.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:19:18.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:19:24.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:19:27.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:19:30.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:19:34.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:19:34.983Z] 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.
[2025-08-30T11:19:34.983Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:19:35.931Z] Top recommended movies for user id 72:
[2025-08-30T11:19:35.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:19:35.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:19:35.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:19:35.931Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:19:35.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:19:35.931Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (53904.780 ms) ======
[2025-08-30T11:19:35.931Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-30T11:19:35.931Z] GC before operation: completed in 258.491 ms, heap usage 402.153 MB -> 86.688 MB.
[2025-08-30T11:19:42.630Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:19:48.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:19:53.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:19:57.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:20:00.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:20:03.612Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:20:05.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:20:08.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:20:09.572Z] 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.
[2025-08-30T11:20:09.572Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:20:09.572Z] Top recommended movies for user id 72:
[2025-08-30T11:20:09.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:20:09.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:20:09.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:20:09.572Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:20:09.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:20:09.572Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (33979.738 ms) ======
[2025-08-30T11:20:09.573Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-30T11:20:09.573Z] GC before operation: completed in 225.292 ms, heap usage 177.398 MB -> 88.561 MB.
[2025-08-30T11:20:14.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:20:20.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:20:24.457Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:20:28.622Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:20:30.573Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:20:33.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:20:36.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:20:38.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:20:39.748Z] 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.
[2025-08-30T11:20:39.748Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:20:39.748Z] Top recommended movies for user id 72:
[2025-08-30T11:20:39.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:20:39.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:20:39.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:20:39.748Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:20:39.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:20:39.748Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29867.974 ms) ======
[2025-08-30T11:20:39.748Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-30T11:20:39.748Z] GC before operation: completed in 173.083 ms, heap usage 175.461 MB -> 89.279 MB.
[2025-08-30T11:20:45.105Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:20:48.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:20:53.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:20:57.204Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:21:00.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:21:02.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:21:05.217Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:21:07.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:21:08.106Z] 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.
[2025-08-30T11:21:08.106Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:21:08.106Z] Top recommended movies for user id 72:
[2025-08-30T11:21:08.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:21:08.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:21:08.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:21:08.107Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:21:08.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:21:08.107Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28328.335 ms) ======
[2025-08-30T11:21:08.107Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-30T11:21:08.107Z] GC before operation: completed in 196.721 ms, heap usage 232.399 MB -> 89.565 MB.
[2025-08-30T11:21:13.460Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:21:17.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:21:21.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:21:25.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:21:27.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:21:30.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:21:32.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:21:35.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:21:35.869Z] 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.
[2025-08-30T11:21:35.869Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:21:35.869Z] Top recommended movies for user id 72:
[2025-08-30T11:21:35.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:21:35.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:21:35.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:21:35.869Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:21:35.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:21:35.869Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27811.377 ms) ======
[2025-08-30T11:21:35.869Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-30T11:21:36.823Z] GC before operation: completed in 223.293 ms, heap usage 568.139 MB -> 93.203 MB.
[2025-08-30T11:21:40.963Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:21:45.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:21:49.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:21:53.372Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:21:55.322Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:21:58.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:22:00.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:22:03.992Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:22:03.992Z] 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.
[2025-08-30T11:22:03.992Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:22:03.992Z] Top recommended movies for user id 72:
[2025-08-30T11:22:03.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:22:03.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:22:03.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:22:03.992Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:22:03.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:22:03.992Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (27371.754 ms) ======
[2025-08-30T11:22:03.992Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-30T11:22:03.992Z] GC before operation: completed in 222.021 ms, heap usage 128.046 MB -> 89.834 MB.
[2025-08-30T11:22:08.133Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:22:12.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:22:16.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:22:20.550Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:22:23.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:22:25.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:22:28.518Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:22:31.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:22:31.544Z] 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.
[2025-08-30T11:22:31.544Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:22:31.544Z] Top recommended movies for user id 72:
[2025-08-30T11:22:31.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:22:31.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:22:31.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:22:31.544Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:22:31.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:22:31.544Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27563.297 ms) ======
[2025-08-30T11:22:31.544Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-30T11:22:31.544Z] GC before operation: completed in 237.410 ms, heap usage 324.666 MB -> 89.987 MB.
[2025-08-30T11:22:36.915Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:22:39.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:22:44.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:22:48.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:22:50.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:22:52.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:22:55.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:22:57.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:22:58.094Z] 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.
[2025-08-30T11:22:58.094Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:22:58.094Z] Top recommended movies for user id 72:
[2025-08-30T11:22:58.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:22:58.094Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:22:58.094Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:22:58.094Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:22:58.094Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:22:58.094Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26084.158 ms) ======
[2025-08-30T11:22:58.094Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-30T11:22:58.094Z] GC before operation: completed in 184.707 ms, heap usage 101.106 MB -> 90.175 MB.
[2025-08-30T11:23:02.235Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:23:06.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:23:09.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:23:13.570Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:23:15.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:23:17.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:23:21.172Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:23:22.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:23:23.081Z] 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.
[2025-08-30T11:23:23.081Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:23:23.081Z] Top recommended movies for user id 72:
[2025-08-30T11:23:23.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:23:23.081Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:23:23.081Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:23:23.081Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:23:23.081Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:23:23.081Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24954.802 ms) ======
[2025-08-30T11:23:23.081Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-30T11:23:23.081Z] GC before operation: completed in 172.327 ms, heap usage 216.318 MB -> 89.892 MB.
[2025-08-30T11:23:27.220Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:23:31.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:23:34.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:23:38.526Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:23:40.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:23:42.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:23:44.374Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:23:47.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:23:47.391Z] 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.
[2025-08-30T11:23:47.391Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:23:48.346Z] Top recommended movies for user id 72:
[2025-08-30T11:23:48.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:23:48.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:23:48.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:23:48.346Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:23:48.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:23:48.346Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24812.521 ms) ======
[2025-08-30T11:23:48.346Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-30T11:23:48.346Z] GC before operation: completed in 195.846 ms, heap usage 182.876 MB -> 90.090 MB.
[2025-08-30T11:23:52.493Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:23:55.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:23:59.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:24:03.789Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:24:06.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:24:08.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:24:11.750Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:24:13.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:24:14.644Z] 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.
[2025-08-30T11:24:14.644Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:24:14.644Z] Top recommended movies for user id 72:
[2025-08-30T11:24:14.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:24:14.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:24:14.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:24:14.644Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:24:14.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:24:14.644Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26293.368 ms) ======
[2025-08-30T11:24:14.644Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-30T11:24:14.644Z] GC before operation: completed in 190.579 ms, heap usage 127.022 MB -> 89.779 MB.
[2025-08-30T11:24:18.786Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:24:21.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:24:27.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:24:30.162Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:24:33.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:24:35.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:24:37.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:24:39.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:24:39.738Z] 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.
[2025-08-30T11:24:39.738Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:24:40.692Z] Top recommended movies for user id 72:
[2025-08-30T11:24:40.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:24:40.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:24:40.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:24:40.692Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:24:40.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:24:40.692Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25482.550 ms) ======
[2025-08-30T11:24:40.692Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-30T11:24:40.692Z] GC before operation: completed in 261.448 ms, heap usage 530.715 MB -> 90.482 MB.
[2025-08-30T11:24:44.825Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:24:48.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:24:51.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:24:56.131Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:24:58.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:25:01.094Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:25:03.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:25:06.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:25:06.068Z] 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.
[2025-08-30T11:25:06.068Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:25:06.068Z] Top recommended movies for user id 72:
[2025-08-30T11:25:06.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:25:06.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:25:06.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:25:06.068Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:25:06.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:25:06.068Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25778.237 ms) ======
[2025-08-30T11:25:06.068Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-30T11:25:07.016Z] GC before operation: completed in 205.839 ms, heap usage 125.860 MB -> 90.078 MB.
[2025-08-30T11:25:10.026Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:25:14.156Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:25:17.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:25:21.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:25:24.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:25:26.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:25:29.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:25:31.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:25:32.210Z] 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.
[2025-08-30T11:25:32.210Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:25:32.210Z] Top recommended movies for user id 72:
[2025-08-30T11:25:32.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:25:32.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:25:32.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:25:32.210Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:25:32.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:25:32.210Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25503.399 ms) ======
[2025-08-30T11:25:32.210Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-30T11:25:32.210Z] GC before operation: completed in 210.377 ms, heap usage 381.785 MB -> 90.247 MB.
[2025-08-30T11:25:36.357Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:25:39.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:25:43.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:25:47.649Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:25:49.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:25:53.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:25:54.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:25:57.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:25:57.294Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-30T11:25:57.294Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:25:58.246Z] Top recommended movies for user id 72:
[2025-08-30T11:25:58.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:25:58.246Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:25:58.246Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:25:58.246Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:25:58.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:25:58.247Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25561.388 ms) ======
[2025-08-30T11:25:58.247Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-30T11:25:58.247Z] GC before operation: completed in 193.810 ms, heap usage 204.655 MB -> 90.198 MB.
[2025-08-30T11:26:02.383Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:26:06.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:26:09.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:26:13.683Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:26:15.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:26:17.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:26:20.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:26:22.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:26:23.499Z] 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.
[2025-08-30T11:26:23.499Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:26:23.499Z] Top recommended movies for user id 72:
[2025-08-30T11:26:23.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:26:23.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:26:23.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:26:23.499Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:26:23.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:26:23.499Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25568.751 ms) ======
[2025-08-30T11:26:23.499Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-30T11:26:23.499Z] GC before operation: completed in 224.033 ms, heap usage 380.269 MB -> 90.358 MB.
[2025-08-30T11:26:27.624Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:26:31.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:26:34.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:26:38.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:26:41.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:26:43.867Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:26:45.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:26:48.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:26:48.847Z] 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.
[2025-08-30T11:26:48.847Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:26:48.847Z] Top recommended movies for user id 72:
[2025-08-30T11:26:48.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:26:48.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:26:48.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:26:48.847Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:26:48.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:26:48.847Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25249.948 ms) ======
[2025-08-30T11:26:48.847Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-30T11:26:48.847Z] GC before operation: completed in 185.778 ms, heap usage 278.772 MB -> 90.303 MB.
[2025-08-30T11:26:52.983Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:26:57.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:27:01.301Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:27:04.307Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:27:07.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:27:09.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:27:12.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:27:13.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:27:14.921Z] 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.
[2025-08-30T11:27:14.921Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:27:14.921Z] Top recommended movies for user id 72:
[2025-08-30T11:27:14.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:27:14.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:27:14.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:27:14.921Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:27:14.921Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:27:14.921Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25816.746 ms) ======
[2025-08-30T11:27:14.921Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-30T11:27:14.921Z] GC before operation: completed in 191.698 ms, heap usage 277.915 MB -> 90.162 MB.
[2025-08-30T11:27:19.058Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:27:23.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:27:26.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:27:30.343Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:27:32.290Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:27:35.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:27:37.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:27:40.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:27:40.251Z] 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.
[2025-08-30T11:27:40.251Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:27:40.252Z] Top recommended movies for user id 72:
[2025-08-30T11:27:40.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:27:40.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:27:40.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:27:40.252Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:27:40.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:27:40.252Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25020.974 ms) ======
[2025-08-30T11:27:40.252Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-30T11:27:40.252Z] GC before operation: completed in 196.327 ms, heap usage 95.730 MB -> 90.505 MB.
[2025-08-30T11:27:44.389Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T11:27:48.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T11:27:51.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T11:27:55.685Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T11:27:57.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T11:27:59.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T11:28:02.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T11:28:04.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T11:28:04.540Z] 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.
[2025-08-30T11:28:04.540Z] The best model improves the baseline by 14.52%.
[2025-08-30T11:28:05.492Z] Top recommended movies for user id 72:
[2025-08-30T11:28:05.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-30T11:28:05.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-30T11:28:05.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-30T11:28:05.492Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-30T11:28:05.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-30T11:28:05.492Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24603.273 ms) ======
[2025-08-30T11:28:06.442Z] -----------------------------------
[2025-08-30T11:28:06.443Z] renaissance-movie-lens_0_PASSED
[2025-08-30T11:28:06.443Z] -----------------------------------
[2025-08-30T11:28:06.443Z]
[2025-08-30T11:28:06.443Z] TEST TEARDOWN:
[2025-08-30T11:28:06.443Z] Nothing to be done for teardown.
[2025-08-30T11:28:06.443Z] renaissance-movie-lens_0 Finish Time: Sat Aug 30 11:28:05 2025 Epoch Time (ms): 1756553285538