renaissance-movie-lens_0
[2025-06-11T21:35:23.900Z] Running test renaissance-movie-lens_0 ...
[2025-06-11T21:35:23.900Z] ===============================================
[2025-06-11T21:35:23.900Z] renaissance-movie-lens_0 Start Time: Wed Jun 11 21:35:23 2025 Epoch Time (ms): 1749677723311
[2025-06-11T21:35:23.900Z] variation: NoOptions
[2025-06-11T21:35:23.900Z] JVM_OPTIONS:
[2025-06-11T21:35:23.900Z] { \
[2025-06-11T21:35:23.900Z] echo ""; echo "TEST SETUP:"; \
[2025-06-11T21:35:23.900Z] echo "Nothing to be done for setup."; \
[2025-06-11T21:35:23.900Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17496761176898/renaissance-movie-lens_0"; \
[2025-06-11T21:35:23.900Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17496761176898/renaissance-movie-lens_0"; \
[2025-06-11T21:35:23.900Z] echo ""; echo "TESTING:"; \
[2025-06-11T21:35:23.900Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-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_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17496761176898/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-11T21:35:23.900Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17496761176898/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-11T21:35:23.900Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-11T21:35:23.900Z] echo "Nothing to be done for teardown."; \
[2025-06-11T21:35:23.900Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17496761176898/TestTargetResult";
[2025-06-11T21:35:23.900Z]
[2025-06-11T21:35:23.900Z] TEST SETUP:
[2025-06-11T21:35:23.900Z] Nothing to be done for setup.
[2025-06-11T21:35:23.900Z]
[2025-06-11T21:35:23.900Z] TESTING:
[2025-06-11T21:35:34.192Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads.
[2025-06-11T21:35:46.934Z] 21:35:45.775 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB.
[2025-06-11T21:35:51.794Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-11T21:35:52.605Z] Training: 60056, validation: 20285, test: 19854
[2025-06-11T21:35:52.605Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-11T21:35:52.605Z] GC before operation: completed in 203.751 ms, heap usage 248.817 MB -> 75.609 MB.
[2025-06-11T21:36:03.093Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:36:12.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:36:16.873Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:36:21.612Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:36:24.294Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:36:26.914Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:36:29.154Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:36:31.772Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:36:31.772Z] 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.
[2025-06-11T21:36:31.772Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:36:32.593Z] Top recommended movies for user id 72:
[2025-06-11T21:36:32.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:36:32.593Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:36:32.593Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:36:32.593Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:36:32.593Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:36:32.593Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39617.176 ms) ======
[2025-06-11T21:36:32.594Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-11T21:36:32.594Z] GC before operation: completed in 215.524 ms, heap usage 397.236 MB -> 93.464 MB.
[2025-06-11T21:36:36.232Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:36:40.921Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:36:44.546Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:36:48.131Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:36:49.834Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:36:52.429Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:36:54.134Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:36:56.735Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:36:56.735Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-06-11T21:36:56.735Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:36:57.548Z] Top recommended movies for user id 72:
[2025-06-11T21:36:57.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:36:57.548Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:36:57.548Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:36:57.548Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:36:57.548Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:36:57.548Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24682.511 ms) ======
[2025-06-11T21:36:57.548Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-11T21:36:57.548Z] GC before operation: completed in 228.648 ms, heap usage 183.838 MB -> 87.674 MB.
[2025-06-11T21:37:01.129Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:37:04.748Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:37:08.337Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:37:10.927Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:37:14.080Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:37:14.894Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:37:17.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:37:19.232Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:37:19.232Z] 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.
[2025-06-11T21:37:19.232Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:37:20.046Z] Top recommended movies for user id 72:
[2025-06-11T21:37:20.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:37:20.046Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:37:20.046Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:37:20.046Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:37:20.046Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:37:20.046Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22353.313 ms) ======
[2025-06-11T21:37:20.046Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-11T21:37:20.046Z] GC before operation: completed in 214.889 ms, heap usage 215.617 MB -> 88.293 MB.
[2025-06-11T21:37:23.628Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:37:27.233Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:37:30.839Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:37:35.498Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:37:38.096Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:37:39.774Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:37:42.371Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:37:44.995Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:37:44.995Z] 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.
[2025-06-11T21:37:44.995Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:37:44.995Z] Top recommended movies for user id 72:
[2025-06-11T21:37:44.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:37:44.995Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:37:44.995Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:37:44.995Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:37:44.995Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:37:44.995Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25385.199 ms) ======
[2025-06-11T21:37:44.995Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-11T21:37:45.809Z] GC before operation: completed in 197.220 ms, heap usage 144.564 MB -> 88.642 MB.
[2025-06-11T21:37:49.397Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:37:52.977Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:37:56.573Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:37:59.729Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:38:02.330Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:38:04.003Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:38:06.613Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:38:09.299Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:38:09.299Z] 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.
[2025-06-11T21:38:09.299Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:38:09.299Z] Top recommended movies for user id 72:
[2025-06-11T21:38:09.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:38:09.299Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:38:09.299Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:38:09.299Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:38:09.299Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:38:09.299Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24139.884 ms) ======
[2025-06-11T21:38:09.299Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-11T21:38:10.112Z] GC before operation: completed in 188.537 ms, heap usage 201.347 MB -> 88.516 MB.
[2025-06-11T21:38:13.695Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:38:17.345Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:38:20.932Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:38:24.518Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:38:26.194Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:38:27.872Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:38:30.476Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:38:32.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:38:32.973Z] 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.
[2025-06-11T21:38:32.973Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:38:32.973Z] Top recommended movies for user id 72:
[2025-06-11T21:38:32.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:38:32.973Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:38:32.973Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:38:32.973Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:38:32.973Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:38:32.973Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23271.386 ms) ======
[2025-06-11T21:38:32.973Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-11T21:38:32.973Z] GC before operation: completed in 212.101 ms, heap usage 115.849 MB -> 88.764 MB.
[2025-06-11T21:38:36.551Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:38:40.731Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:38:43.515Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:38:47.173Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:38:49.830Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:38:51.507Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:38:53.185Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:38:55.785Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:38:55.785Z] 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.
[2025-06-11T21:38:55.785Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:38:55.785Z] Top recommended movies for user id 72:
[2025-06-11T21:38:55.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:38:55.785Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:38:55.785Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:38:55.785Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:38:55.785Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:38:55.785Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22743.805 ms) ======
[2025-06-11T21:38:55.785Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-11T21:38:56.595Z] GC before operation: completed in 156.805 ms, heap usage 253.707 MB -> 89.016 MB.
[2025-06-11T21:38:59.185Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:39:02.765Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:39:06.368Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:39:08.975Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:39:11.580Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:39:14.191Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:39:15.860Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:39:18.449Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:39:19.265Z] 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.
[2025-06-11T21:39:19.265Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:39:19.265Z] Top recommended movies for user id 72:
[2025-06-11T21:39:19.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:39:19.265Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:39:19.265Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:39:19.265Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:39:19.265Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:39:19.265Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23025.156 ms) ======
[2025-06-11T21:39:19.265Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-11T21:39:19.265Z] GC before operation: completed in 170.846 ms, heap usage 275.829 MB -> 89.210 MB.
[2025-06-11T21:39:23.151Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:39:26.774Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:39:30.374Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:39:32.975Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:39:34.648Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:39:37.256Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:39:38.989Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:39:40.661Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:39:40.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-06-11T21:39:40.662Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:39:40.662Z] Top recommended movies for user id 72:
[2025-06-11T21:39:40.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:39:40.662Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:39:40.662Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:39:40.662Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:39:40.662Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:39:40.662Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21470.791 ms) ======
[2025-06-11T21:39:40.662Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-11T21:39:41.475Z] GC before operation: completed in 183.342 ms, heap usage 109.333 MB -> 88.787 MB.
[2025-06-11T21:39:44.094Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:39:47.681Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:39:50.278Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:39:52.873Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:39:55.474Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:39:57.144Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:39:58.821Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:40:00.513Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:40:00.513Z] 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.
[2025-06-11T21:40:00.513Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:40:01.332Z] Top recommended movies for user id 72:
[2025-06-11T21:40:01.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:40:01.332Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:40:01.332Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:40:01.332Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:40:01.332Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:40:01.332Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19827.694 ms) ======
[2025-06-11T21:40:01.332Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-11T21:40:01.332Z] GC before operation: completed in 204.705 ms, heap usage 585.115 MB -> 93.012 MB.
[2025-06-11T21:40:04.040Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:40:07.184Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:40:10.785Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:40:13.382Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:40:15.089Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:40:16.779Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:40:18.451Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:40:21.050Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:40:21.050Z] 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.
[2025-06-11T21:40:21.050Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:40:21.050Z] Top recommended movies for user id 72:
[2025-06-11T21:40:21.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:40:21.050Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:40:21.050Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:40:21.050Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:40:21.050Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:40:21.050Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19962.813 ms) ======
[2025-06-11T21:40:21.050Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-11T21:40:21.050Z] GC before operation: completed in 181.377 ms, heap usage 358.315 MB -> 89.132 MB.
[2025-06-11T21:40:24.642Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:40:27.233Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:40:30.853Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:40:33.474Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:40:35.145Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:40:36.826Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:40:39.461Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:40:41.134Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:40:41.134Z] 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.
[2025-06-11T21:40:41.134Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:40:41.134Z] Top recommended movies for user id 72:
[2025-06-11T21:40:41.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:40:41.134Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:40:41.134Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:40:41.134Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:40:41.134Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:40:41.134Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19933.135 ms) ======
[2025-06-11T21:40:41.134Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-11T21:40:41.134Z] GC before operation: completed in 190.005 ms, heap usage 404.806 MB -> 89.503 MB.
[2025-06-11T21:40:44.718Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:40:47.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:40:50.445Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:40:54.029Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:40:55.695Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:40:57.364Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:40:59.033Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:41:01.635Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:41:01.635Z] 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.
[2025-06-11T21:41:01.635Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:41:01.635Z] Top recommended movies for user id 72:
[2025-06-11T21:41:01.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:41:01.635Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:41:01.635Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:41:01.635Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:41:01.635Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:41:01.635Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20250.952 ms) ======
[2025-06-11T21:41:01.635Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-11T21:41:01.635Z] GC before operation: completed in 178.595 ms, heap usage 387.035 MB -> 89.653 MB.
[2025-06-11T21:41:05.239Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:41:07.874Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:41:11.461Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:41:14.054Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:41:15.794Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:41:17.464Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:41:19.140Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:41:21.728Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:41:21.728Z] 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.
[2025-06-11T21:41:21.728Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:41:21.728Z] Top recommended movies for user id 72:
[2025-06-11T21:41:21.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:41:21.728Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:41:21.728Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:41:21.728Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:41:21.728Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:41:21.728Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19968.870 ms) ======
[2025-06-11T21:41:21.728Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-11T21:41:21.728Z] GC before operation: completed in 184.669 ms, heap usage 243.920 MB -> 89.170 MB.
[2025-06-11T21:41:25.329Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:41:28.913Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:41:32.055Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:41:34.662Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:41:36.343Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:41:38.017Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:41:39.717Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:41:41.390Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:41:41.390Z] 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.
[2025-06-11T21:41:41.390Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:41:42.200Z] Top recommended movies for user id 72:
[2025-06-11T21:41:42.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:41:42.200Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:41:42.200Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:41:42.200Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:41:42.200Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:41:42.200Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19847.030 ms) ======
[2025-06-11T21:41:42.200Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-11T21:41:42.200Z] GC before operation: completed in 185.663 ms, heap usage 224.371 MB -> 89.367 MB.
[2025-06-11T21:41:44.792Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:41:48.384Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:41:50.979Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:41:53.574Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:41:55.274Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:41:56.972Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:41:59.580Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:42:01.254Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:42:01.254Z] 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.
[2025-06-11T21:42:01.254Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:42:01.254Z] Top recommended movies for user id 72:
[2025-06-11T21:42:01.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:42:01.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:42:01.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:42:01.254Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:42:01.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:42:01.254Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19386.127 ms) ======
[2025-06-11T21:42:01.254Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-11T21:42:01.254Z] GC before operation: completed in 190.264 ms, heap usage 243.767 MB -> 89.195 MB.
[2025-06-11T21:42:04.937Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:42:07.538Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:42:11.141Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:42:13.728Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:42:15.696Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:42:17.368Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:42:19.037Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:42:21.628Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:42:21.628Z] 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.
[2025-06-11T21:42:21.628Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:42:21.628Z] Top recommended movies for user id 72:
[2025-06-11T21:42:21.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:42:21.628Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:42:21.628Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:42:21.628Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:42:21.628Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:42:21.628Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20166.971 ms) ======
[2025-06-11T21:42:21.628Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-11T21:42:21.628Z] GC before operation: completed in 195.076 ms, heap usage 167.264 MB -> 89.113 MB.
[2025-06-11T21:42:25.243Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:42:27.849Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:42:31.435Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:42:34.032Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:42:35.717Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:42:38.312Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:42:39.982Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:42:41.650Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:42:41.650Z] 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.
[2025-06-11T21:42:41.650Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:42:41.650Z] Top recommended movies for user id 72:
[2025-06-11T21:42:41.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:42:41.650Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:42:41.650Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:42:41.650Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:42:41.650Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:42:41.650Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20041.946 ms) ======
[2025-06-11T21:42:41.650Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-11T21:42:42.463Z] GC before operation: completed in 210.533 ms, heap usage 217.659 MB -> 89.094 MB.
[2025-06-11T21:42:45.060Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:42:48.719Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:42:52.324Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:42:55.063Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:42:57.651Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:42:59.611Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:43:02.244Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:43:03.939Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:43:04.760Z] 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.
[2025-06-11T21:43:04.760Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:43:04.760Z] Top recommended movies for user id 72:
[2025-06-11T21:43:04.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:43:04.760Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:43:04.760Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:43:04.760Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:43:04.760Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:43:04.760Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22580.059 ms) ======
[2025-06-11T21:43:04.760Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-11T21:43:04.760Z] GC before operation: completed in 196.942 ms, heap usage 405.451 MB -> 89.569 MB.
[2025-06-11T21:43:08.346Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T21:43:11.927Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T21:43:14.515Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T21:43:18.095Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T21:43:19.765Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T21:43:21.434Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T21:43:24.026Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T21:43:25.698Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T21:43:26.508Z] 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.
[2025-06-11T21:43:26.508Z] The best model improves the baseline by 14.34%.
[2025-06-11T21:43:26.508Z] Top recommended movies for user id 72:
[2025-06-11T21:43:26.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-06-11T21:43:26.508Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-06-11T21:43:26.508Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-06-11T21:43:26.508Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-06-11T21:43:26.508Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-06-11T21:43:26.508Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21706.098 ms) ======
[2025-06-11T21:43:28.191Z] -----------------------------------
[2025-06-11T21:43:28.191Z] renaissance-movie-lens_0_PASSED
[2025-06-11T21:43:28.191Z] -----------------------------------
[2025-06-11T21:43:28.191Z]
[2025-06-11T21:43:28.191Z] TEST TEARDOWN:
[2025-06-11T21:43:28.191Z] Nothing to be done for teardown.
[2025-06-11T21:43:28.191Z] renaissance-movie-lens_0 Finish Time: Wed Jun 11 21:43:27 2025 Epoch Time (ms): 1749678207379