renaissance-movie-lens_0
[2025-05-08T01:27:42.201Z] Running test renaissance-movie-lens_0 ...
[2025-05-08T01:27:42.201Z] ===============================================
[2025-05-08T01:27:42.201Z] renaissance-movie-lens_0 Start Time: Wed May 7 20:27:40 2025 Epoch Time (ms): 1746667660677
[2025-05-08T01:27:42.201Z] variation: NoOptions
[2025-05-08T01:27:42.201Z] JVM_OPTIONS:
[2025-05-08T01:27:42.201Z] { \
[2025-05-08T01:27:42.201Z] echo ""; echo "TEST SETUP:"; \
[2025-05-08T01:27:42.201Z] echo "Nothing to be done for setup."; \
[2025-05-08T01:27:42.201Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466665312221/renaissance-movie-lens_0"; \
[2025-05-08T01:27:42.201Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466665312221/renaissance-movie-lens_0"; \
[2025-05-08T01:27:42.201Z] echo ""; echo "TESTING:"; \
[2025-05-08T01:27:42.201Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466665312221/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-08T01:27:42.201Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466665312221/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-08T01:27:42.201Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-08T01:27:42.201Z] echo "Nothing to be done for teardown."; \
[2025-05-08T01:27:42.201Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466665312221/TestTargetResult";
[2025-05-08T01:27:42.201Z]
[2025-05-08T01:27:42.201Z] TEST SETUP:
[2025-05-08T01:27:42.201Z] Nothing to be done for setup.
[2025-05-08T01:27:42.201Z]
[2025-05-08T01:27:42.201Z] TESTING:
[2025-05-08T01:27:48.460Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-08T01:27:57.544Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-08T01:27:58.226Z] Training: 60056, validation: 20285, test: 19854
[2025-05-08T01:27:58.226Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-08T01:27:58.226Z] GC before operation: completed in 115.992 ms, heap usage 273.158 MB -> 76.373 MB.
[2025-05-08T01:28:05.800Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:28:08.008Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:28:12.046Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:28:15.126Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:28:16.539Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:28:18.747Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:28:20.958Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:28:22.371Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:28:22.371Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:28:22.371Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:28:23.055Z] Top recommended movies for user id 72:
[2025-05-08T01:28:23.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:28:23.055Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:28:23.055Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:28:23.055Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:28:23.055Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:28:23.055Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24668.044 ms) ======
[2025-05-08T01:28:23.055Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-08T01:28:23.055Z] GC before operation: completed in 107.425 ms, heap usage 740.929 MB -> 97.148 MB.
[2025-05-08T01:28:26.140Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:28:29.209Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:28:32.287Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:28:34.502Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:28:36.746Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:28:38.161Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:28:39.575Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:28:40.990Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:28:41.673Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:28:41.673Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:28:41.673Z] Top recommended movies for user id 72:
[2025-05-08T01:28:41.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:28:41.673Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:28:41.673Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:28:41.673Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:28:41.673Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:28:41.673Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18897.114 ms) ======
[2025-05-08T01:28:41.673Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-08T01:28:41.673Z] GC before operation: completed in 98.994 ms, heap usage 692.668 MB -> 94.333 MB.
[2025-05-08T01:28:45.694Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:28:47.901Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:28:50.977Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:28:54.163Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:28:55.579Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:28:56.993Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:28:59.202Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:29:00.618Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:29:00.618Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:29:00.618Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:29:00.618Z] Top recommended movies for user id 72:
[2025-05-08T01:29:00.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:29:00.618Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:29:00.618Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:29:00.618Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:29:00.618Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:29:00.618Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19049.730 ms) ======
[2025-05-08T01:29:00.618Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-08T01:29:01.301Z] GC before operation: completed in 127.596 ms, heap usage 567.336 MB -> 94.900 MB.
[2025-05-08T01:29:04.377Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:29:06.592Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:29:09.669Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:29:11.877Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:29:14.087Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:29:15.502Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:29:16.917Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:29:19.123Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:29:19.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:29:19.123Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:29:19.123Z] Top recommended movies for user id 72:
[2025-05-08T01:29:19.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:29:19.123Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:29:19.123Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:29:19.123Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:29:19.123Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:29:19.123Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18224.497 ms) ======
[2025-05-08T01:29:19.123Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-08T01:29:19.123Z] GC before operation: completed in 115.037 ms, heap usage 407.181 MB -> 91.770 MB.
[2025-05-08T01:29:22.191Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:29:25.261Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:29:28.335Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:29:30.541Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:29:31.955Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:29:34.163Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:29:37.726Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:29:37.726Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:29:37.726Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:29:37.726Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:29:37.726Z] Top recommended movies for user id 72:
[2025-05-08T01:29:37.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:29:37.726Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:29:37.726Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:29:37.726Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:29:37.726Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:29:37.726Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18119.626 ms) ======
[2025-05-08T01:29:37.726Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-08T01:29:37.726Z] GC before operation: completed in 118.064 ms, heap usage 700.037 MB -> 95.197 MB.
[2025-05-08T01:29:40.831Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:29:43.900Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:29:46.111Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:29:48.318Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:29:49.734Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:29:51.945Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:29:53.364Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:29:54.779Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:29:54.779Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:29:54.779Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:29:55.463Z] Top recommended movies for user id 72:
[2025-05-08T01:29:55.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:29:55.463Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:29:55.463Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:29:55.463Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:29:55.463Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:29:55.463Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17520.832 ms) ======
[2025-05-08T01:29:55.463Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-08T01:29:55.463Z] GC before operation: completed in 120.803 ms, heap usage 588.509 MB -> 92.248 MB.
[2025-05-08T01:29:58.538Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:30:00.746Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:30:03.822Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:30:06.034Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:30:08.245Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:30:09.661Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:30:11.079Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:30:12.497Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:30:13.183Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:30:13.183Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:30:13.183Z] Top recommended movies for user id 72:
[2025-05-08T01:30:13.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:30:13.183Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:30:13.183Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:30:13.183Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:30:13.183Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:30:13.183Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17949.690 ms) ======
[2025-05-08T01:30:13.183Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-08T01:30:13.183Z] GC before operation: completed in 104.150 ms, heap usage 913.413 MB -> 95.813 MB.
[2025-05-08T01:30:16.257Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:30:19.333Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:30:21.542Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:30:23.750Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:30:25.962Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:30:27.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:30:28.804Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:30:30.297Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:30:30.979Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:30:30.979Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:30:30.979Z] Top recommended movies for user id 72:
[2025-05-08T01:30:30.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:30:30.979Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:30:30.979Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:30:30.979Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:30:30.979Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:30:30.979Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17631.827 ms) ======
[2025-05-08T01:30:30.979Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-08T01:30:30.979Z] GC before operation: completed in 117.863 ms, heap usage 460.271 MB -> 92.305 MB.
[2025-05-08T01:30:34.055Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:30:37.130Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:30:40.205Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:30:42.411Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:30:43.829Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:30:45.244Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:30:46.661Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:30:48.871Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:30:48.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:30:48.871Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:30:48.871Z] Top recommended movies for user id 72:
[2025-05-08T01:30:48.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:30:48.871Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:30:48.871Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:30:48.871Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:30:48.871Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:30:48.871Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17961.105 ms) ======
[2025-05-08T01:30:48.871Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-08T01:30:48.871Z] GC before operation: completed in 126.753 ms, heap usage 381.622 MB -> 92.078 MB.
[2025-05-08T01:30:51.944Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:30:55.022Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:30:57.229Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:31:00.306Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:31:01.722Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:31:03.138Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:31:04.556Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:31:05.972Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:31:06.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:31:06.655Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:31:06.655Z] Top recommended movies for user id 72:
[2025-05-08T01:31:06.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:31:06.655Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:31:06.655Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:31:06.655Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:31:06.655Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:31:06.655Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17492.054 ms) ======
[2025-05-08T01:31:06.655Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-08T01:31:06.655Z] GC before operation: completed in 142.183 ms, heap usage 445.226 MB -> 92.434 MB.
[2025-05-08T01:31:09.736Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:31:12.809Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:31:15.020Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:31:17.227Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:31:18.644Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:31:20.852Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:31:22.268Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:31:23.683Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:31:23.683Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:31:23.683Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:31:23.683Z] Top recommended movies for user id 72:
[2025-05-08T01:31:23.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:31:23.683Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:31:23.683Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:31:23.683Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:31:23.683Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:31:23.683Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17128.773 ms) ======
[2025-05-08T01:31:23.683Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-08T01:31:23.683Z] GC before operation: completed in 105.022 ms, heap usage 348.671 MB -> 91.985 MB.
[2025-05-08T01:31:26.760Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:31:29.832Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:31:32.039Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:31:34.252Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:31:35.666Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:31:37.876Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:31:39.287Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:31:40.704Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:31:40.704Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:31:40.704Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:31:41.387Z] Top recommended movies for user id 72:
[2025-05-08T01:31:41.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:31:41.387Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:31:41.387Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:31:41.387Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:31:41.387Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:31:41.387Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17056.714 ms) ======
[2025-05-08T01:31:41.387Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-08T01:31:41.387Z] GC before operation: completed in 93.166 ms, heap usage 393.659 MB -> 92.212 MB.
[2025-05-08T01:31:44.462Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:31:46.666Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:31:49.737Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:31:51.946Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:31:53.361Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:31:54.775Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:31:56.189Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:31:58.395Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:31:58.395Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:31:58.395Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:31:58.395Z] Top recommended movies for user id 72:
[2025-05-08T01:31:58.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:31:58.395Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:31:58.395Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:31:58.395Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:31:58.395Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:31:58.395Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17282.785 ms) ======
[2025-05-08T01:31:58.395Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-08T01:31:58.395Z] GC before operation: completed in 83.957 ms, heap usage 425.816 MB -> 92.311 MB.
[2025-05-08T01:32:02.420Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:32:04.625Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:32:07.700Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:32:09.908Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:32:11.322Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:32:12.739Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:32:14.154Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:32:15.567Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:32:16.253Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:32:16.253Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:32:16.253Z] Top recommended movies for user id 72:
[2025-05-08T01:32:16.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:32:16.253Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:32:16.253Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:32:16.253Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:32:16.253Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:32:16.253Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17644.209 ms) ======
[2025-05-08T01:32:16.253Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-08T01:32:16.253Z] GC before operation: completed in 149.578 ms, heap usage 180.970 MB -> 91.953 MB.
[2025-05-08T01:32:20.279Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:32:22.492Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:32:24.698Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:32:27.812Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:32:29.227Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:32:30.647Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:32:32.066Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:32:33.482Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:32:34.167Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:32:34.167Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:32:34.167Z] Top recommended movies for user id 72:
[2025-05-08T01:32:34.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:32:34.167Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:32:34.168Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:32:34.168Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:32:34.168Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:32:34.168Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17705.165 ms) ======
[2025-05-08T01:32:34.168Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-08T01:32:34.168Z] GC before operation: completed in 97.672 ms, heap usage 676.259 MB -> 92.836 MB.
[2025-05-08T01:32:37.247Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:32:39.454Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:32:44.452Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:32:45.270Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:32:46.710Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:32:48.155Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:32:49.571Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:32:50.986Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:32:50.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:32:50.986Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:32:51.670Z] Top recommended movies for user id 72:
[2025-05-08T01:32:51.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:32:51.670Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:32:51.670Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:32:51.670Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:32:51.670Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:32:51.670Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17258.764 ms) ======
[2025-05-08T01:32:51.670Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-08T01:32:51.670Z] GC before operation: completed in 97.857 ms, heap usage 597.831 MB -> 92.554 MB.
[2025-05-08T01:32:53.963Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:32:57.037Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:32:59.243Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:33:02.314Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:33:03.730Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:33:05.145Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:33:06.560Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:33:07.978Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:33:08.661Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:33:08.661Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:33:08.661Z] Top recommended movies for user id 72:
[2025-05-08T01:33:08.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:33:08.661Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:33:08.661Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:33:08.661Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:33:08.661Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:33:08.661Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17131.683 ms) ======
[2025-05-08T01:33:08.661Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-08T01:33:08.661Z] GC before operation: completed in 110.662 ms, heap usage 414.379 MB -> 92.417 MB.
[2025-05-08T01:33:11.735Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:33:13.945Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:33:17.024Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:33:19.235Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:33:20.652Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:33:22.858Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:33:24.276Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:33:25.693Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:33:25.693Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:33:25.693Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:33:25.693Z] Top recommended movies for user id 72:
[2025-05-08T01:33:25.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:33:25.693Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:33:25.693Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:33:25.693Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:33:25.693Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:33:25.693Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17179.550 ms) ======
[2025-05-08T01:33:25.693Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-08T01:33:25.693Z] GC before operation: completed in 98.669 ms, heap usage 272.109 MB -> 92.198 MB.
[2025-05-08T01:33:29.717Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:33:31.930Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:33:34.142Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:33:37.219Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:33:38.645Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:33:40.062Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:33:41.477Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:33:42.943Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:33:42.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:33:43.628Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:33:43.628Z] Top recommended movies for user id 72:
[2025-05-08T01:33:43.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:33:43.628Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:33:43.628Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:33:43.628Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:33:43.628Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:33:43.628Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17504.189 ms) ======
[2025-05-08T01:33:43.628Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-08T01:33:43.628Z] GC before operation: completed in 108.660 ms, heap usage 222.263 MB -> 92.173 MB.
[2025-05-08T01:33:46.715Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T01:33:48.923Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T01:33:51.994Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T01:33:54.312Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T01:33:55.729Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T01:33:57.148Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T01:33:59.360Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T01:34:00.779Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T01:34:00.779Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T01:34:00.779Z] The best model improves the baseline by 14.43%.
[2025-05-08T01:34:00.779Z] Top recommended movies for user id 72:
[2025-05-08T01:34:00.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T01:34:00.779Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T01:34:00.779Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T01:34:00.779Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T01:34:00.779Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T01:34:00.779Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17314.708 ms) ======
[2025-05-08T01:34:02.214Z] -----------------------------------
[2025-05-08T01:34:02.214Z] renaissance-movie-lens_0_PASSED
[2025-05-08T01:34:02.214Z] -----------------------------------
[2025-05-08T01:34:02.214Z]
[2025-05-08T01:34:02.214Z] TEST TEARDOWN:
[2025-05-08T01:34:02.214Z] Nothing to be done for teardown.
[2025-05-08T01:34:02.214Z] renaissance-movie-lens_0 Finish Time: Wed May 7 20:34:01 2025 Epoch Time (ms): 1746668041227