renaissance-movie-lens_0
[2025-06-30T17:46:41.115Z] Running test renaissance-movie-lens_0 ...
[2025-06-30T17:46:41.115Z] ===============================================
[2025-06-30T17:46:41.115Z] renaissance-movie-lens_0 Start Time: Mon Jun 30 17:46:40 2025 Epoch Time (ms): 1751305600645
[2025-06-30T17:46:41.115Z] variation: NoOptions
[2025-06-30T17:46:41.115Z] JVM_OPTIONS:
[2025-06-30T17:46:41.115Z] { \
[2025-06-30T17:46:41.115Z] echo ""; echo "TEST SETUP:"; \
[2025-06-30T17:46:41.115Z] echo "Nothing to be done for setup."; \
[2025-06-30T17:46:41.115Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513047269342/renaissance-movie-lens_0"; \
[2025-06-30T17:46:41.115Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513047269342/renaissance-movie-lens_0"; \
[2025-06-30T17:46:41.115Z] echo ""; echo "TESTING:"; \
[2025-06-30T17:46:41.115Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/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_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513047269342/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-30T17:46:41.115Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513047269342/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-30T17:46:41.115Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-30T17:46:41.115Z] echo "Nothing to be done for teardown."; \
[2025-06-30T17:46:41.115Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513047269342/TestTargetResult";
[2025-06-30T17:46:41.115Z]
[2025-06-30T17:46:41.115Z] TEST SETUP:
[2025-06-30T17:46:41.115Z] Nothing to be done for setup.
[2025-06-30T17:46:41.115Z]
[2025-06-30T17:46:41.115Z] TESTING:
[2025-06-30T17:46:46.354Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-30T17:46:55.877Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-30T17:46:55.877Z] Training: 60056, validation: 20285, test: 19854
[2025-06-30T17:46:55.877Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-30T17:46:55.877Z] GC before operation: completed in 87.708 ms, heap usage 351.818 MB -> 76.571 MB.
[2025-06-30T17:46:59.927Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:47:03.969Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:47:06.907Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:47:08.808Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:47:10.879Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:47:11.805Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:47:13.709Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:47:14.635Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:47:14.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-30T17:47:15.560Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:47:15.560Z] Top recommended movies for user id 72:
[2025-06-30T17:47:15.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:47:15.560Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:47:15.560Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:47:15.560Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:47:15.560Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:47:15.560Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (19817.478 ms) ======
[2025-06-30T17:47:15.560Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-30T17:47:15.560Z] GC before operation: completed in 118.632 ms, heap usage 735.883 MB -> 92.220 MB.
[2025-06-30T17:47:17.462Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:47:20.398Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:47:22.301Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:47:24.207Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:47:26.159Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:47:27.086Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:47:28.988Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:47:29.915Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:47:29.915Z] 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.
[2025-06-30T17:47:29.915Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:47:29.915Z] Top recommended movies for user id 72:
[2025-06-30T17:47:29.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:47:29.915Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:47:29.915Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:47:29.915Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:47:29.915Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:47:29.915Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14825.850 ms) ======
[2025-06-30T17:47:29.915Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-30T17:47:31.525Z] GC before operation: completed in 121.735 ms, heap usage 420.895 MB -> 94.233 MB.
[2025-06-30T17:47:32.451Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:47:34.355Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:47:37.292Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:47:39.193Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:47:40.120Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:47:41.047Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:47:41.973Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:47:43.915Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:47:43.915Z] 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.
[2025-06-30T17:47:43.915Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:47:43.915Z] Top recommended movies for user id 72:
[2025-06-30T17:47:43.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:47:43.915Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:47:43.915Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:47:43.915Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:47:43.915Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:47:43.915Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13344.695 ms) ======
[2025-06-30T17:47:43.915Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-30T17:47:43.915Z] GC before operation: completed in 126.529 ms, heap usage 1.066 GB -> 96.237 MB.
[2025-06-30T17:47:45.818Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:47:47.717Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:47:49.619Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:47:51.523Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:47:53.426Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:47:54.351Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:47:55.276Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:47:57.177Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:47:57.177Z] 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.
[2025-06-30T17:47:57.177Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:47:57.177Z] Top recommended movies for user id 72:
[2025-06-30T17:47:57.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:47:57.177Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:47:57.177Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:47:57.177Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:47:57.177Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:47:57.177Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13173.939 ms) ======
[2025-06-30T17:47:57.177Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-30T17:47:57.177Z] GC before operation: completed in 121.313 ms, heap usage 866.490 MB -> 95.739 MB.
[2025-06-30T17:47:59.084Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:48:00.987Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:48:03.931Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:48:05.839Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:48:06.768Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:48:08.671Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:48:09.597Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:48:10.522Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:48:10.522Z] 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.
[2025-06-30T17:48:10.522Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:48:11.448Z] Top recommended movies for user id 72:
[2025-06-30T17:48:11.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:48:11.448Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:48:11.448Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:48:11.448Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:48:11.448Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:48:11.448Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13850.195 ms) ======
[2025-06-30T17:48:11.448Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-30T17:48:11.448Z] GC before operation: completed in 116.259 ms, heap usage 343.816 MB -> 91.983 MB.
[2025-06-30T17:48:13.350Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:48:15.250Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:48:16.174Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:48:19.114Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:48:20.039Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:48:21.942Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:48:23.849Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:48:24.774Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:48:25.701Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-30T17:48:25.701Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:48:25.701Z] Top recommended movies for user id 72:
[2025-06-30T17:48:25.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:48:25.701Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:48:25.701Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:48:25.701Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:48:25.701Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:48:25.701Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14525.899 ms) ======
[2025-06-30T17:48:25.701Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-30T17:48:25.701Z] GC before operation: completed in 158.102 ms, heap usage 572.122 MB -> 92.563 MB.
[2025-06-30T17:48:28.641Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:48:30.553Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:48:33.488Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:48:35.390Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:48:37.292Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:48:39.194Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:48:40.122Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:48:42.022Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:48:42.022Z] 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.
[2025-06-30T17:48:42.022Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:48:42.022Z] Top recommended movies for user id 72:
[2025-06-30T17:48:42.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:48:42.022Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:48:42.022Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:48:42.022Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:48:42.022Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:48:42.022Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16283.880 ms) ======
[2025-06-30T17:48:42.022Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-30T17:48:42.022Z] GC before operation: completed in 166.611 ms, heap usage 906.438 MB -> 96.176 MB.
[2025-06-30T17:48:44.961Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:48:46.863Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:48:49.455Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:48:52.394Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:48:53.321Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:48:54.248Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:48:56.149Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:48:57.073Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:48:58.001Z] 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.
[2025-06-30T17:48:58.001Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:48:58.001Z] Top recommended movies for user id 72:
[2025-06-30T17:48:58.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:48:58.001Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:48:58.001Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:48:58.001Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:48:58.001Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:48:58.001Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15447.706 ms) ======
[2025-06-30T17:48:58.001Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-30T17:48:58.001Z] GC before operation: completed in 131.333 ms, heap usage 478.287 MB -> 92.669 MB.
[2025-06-30T17:49:00.938Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:49:03.878Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:49:05.820Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:49:08.758Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:49:09.684Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:49:11.585Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:49:13.488Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:49:14.414Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:49:14.414Z] 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.
[2025-06-30T17:49:14.414Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:49:15.338Z] Top recommended movies for user id 72:
[2025-06-30T17:49:15.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:49:15.339Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:49:15.339Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:49:15.339Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:49:15.339Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:49:15.339Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17129.990 ms) ======
[2025-06-30T17:49:15.339Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-30T17:49:15.339Z] GC before operation: completed in 131.050 ms, heap usage 258.707 MB -> 92.185 MB.
[2025-06-30T17:49:17.242Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:49:20.183Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:49:22.085Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:49:25.024Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:49:26.925Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:49:27.851Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:49:29.755Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:49:31.778Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:49:31.778Z] 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.
[2025-06-30T17:49:31.778Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:49:31.778Z] Top recommended movies for user id 72:
[2025-06-30T17:49:31.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:49:31.778Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:49:31.778Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:49:31.778Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:49:31.778Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:49:31.778Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16959.637 ms) ======
[2025-06-30T17:49:31.778Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-30T17:49:31.778Z] GC before operation: completed in 121.207 ms, heap usage 382.240 MB -> 92.717 MB.
[2025-06-30T17:49:34.716Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:49:36.622Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:49:39.561Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:49:41.463Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:49:43.364Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:49:44.292Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:49:46.194Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:49:48.097Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:49:48.097Z] 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.
[2025-06-30T17:49:48.097Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:49:48.097Z] Top recommended movies for user id 72:
[2025-06-30T17:49:48.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:49:48.097Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:49:48.097Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:49:48.097Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:49:48.097Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:49:48.097Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15982.130 ms) ======
[2025-06-30T17:49:48.097Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-30T17:49:48.097Z] GC before operation: completed in 127.908 ms, heap usage 1.398 GB -> 97.359 MB.
[2025-06-30T17:49:51.039Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:49:52.938Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:49:55.876Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:49:57.779Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:49:58.706Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:50:00.607Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:50:01.533Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:50:03.435Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:50:03.435Z] 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.
[2025-06-30T17:50:03.435Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:50:03.435Z] Top recommended movies for user id 72:
[2025-06-30T17:50:03.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:50:03.435Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:50:03.435Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:50:03.435Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:50:03.435Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:50:03.435Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15265.957 ms) ======
[2025-06-30T17:50:03.435Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-30T17:50:03.435Z] GC before operation: completed in 144.933 ms, heap usage 1.212 GB -> 97.308 MB.
[2025-06-30T17:50:06.371Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:50:08.272Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:50:10.848Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:50:12.758Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:50:13.684Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:50:15.586Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:50:17.490Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:50:18.416Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:50:19.343Z] 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.
[2025-06-30T17:50:19.343Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:50:19.343Z] Top recommended movies for user id 72:
[2025-06-30T17:50:19.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:50:19.343Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:50:19.343Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:50:19.343Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:50:19.343Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:50:19.343Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15510.207 ms) ======
[2025-06-30T17:50:19.343Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-30T17:50:19.343Z] GC before operation: completed in 156.732 ms, heap usage 1.397 GB -> 97.473 MB.
[2025-06-30T17:50:21.245Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:50:24.182Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:50:27.121Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:50:29.026Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:50:30.971Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:50:31.896Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:50:33.800Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:50:34.725Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:50:34.725Z] 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.
[2025-06-30T17:50:34.725Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:50:34.725Z] Top recommended movies for user id 72:
[2025-06-30T17:50:34.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:50:34.725Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:50:34.725Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:50:34.725Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:50:34.725Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:50:34.725Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15502.575 ms) ======
[2025-06-30T17:50:34.725Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-30T17:50:34.725Z] GC before operation: completed in 110.580 ms, heap usage 267.762 MB -> 92.399 MB.
[2025-06-30T17:50:36.628Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:50:38.531Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:50:40.433Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:50:42.337Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:50:44.239Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:50:45.164Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:50:46.089Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:50:47.016Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:50:47.943Z] 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.
[2025-06-30T17:50:47.943Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:50:47.944Z] Top recommended movies for user id 72:
[2025-06-30T17:50:47.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:50:47.944Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:50:47.944Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:50:47.944Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:50:47.944Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:50:47.944Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12674.444 ms) ======
[2025-06-30T17:50:47.944Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-30T17:50:47.944Z] GC before operation: completed in 114.665 ms, heap usage 475.124 MB -> 93.016 MB.
[2025-06-30T17:50:49.846Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:50:52.788Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:50:54.691Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:50:56.596Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:50:58.499Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:50:59.426Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:51:01.330Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:51:02.257Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:51:02.257Z] 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.
[2025-06-30T17:51:03.182Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:51:03.182Z] Top recommended movies for user id 72:
[2025-06-30T17:51:03.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:51:03.182Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:51:03.182Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:51:03.182Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:51:03.182Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:51:03.182Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15086.802 ms) ======
[2025-06-30T17:51:03.182Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-30T17:51:03.182Z] GC before operation: completed in 140.547 ms, heap usage 1.206 GB -> 97.376 MB.
[2025-06-30T17:51:05.084Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:51:08.024Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:51:10.962Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:51:12.864Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:51:14.769Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:51:15.695Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:51:17.596Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:51:18.527Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:51:18.527Z] 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.
[2025-06-30T17:51:18.527Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:51:19.452Z] Top recommended movies for user id 72:
[2025-06-30T17:51:19.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:51:19.452Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:51:19.452Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:51:19.452Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:51:19.452Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:51:19.452Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16002.522 ms) ======
[2025-06-30T17:51:19.452Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-30T17:51:19.452Z] GC before operation: completed in 124.815 ms, heap usage 245.633 MB -> 92.618 MB.
[2025-06-30T17:51:21.356Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:51:24.294Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:51:26.196Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:51:29.137Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:51:31.834Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:51:31.834Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:51:33.737Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:51:35.644Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:51:35.645Z] 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.
[2025-06-30T17:51:35.645Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:51:35.645Z] Top recommended movies for user id 72:
[2025-06-30T17:51:35.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:51:35.645Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:51:35.645Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:51:35.645Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:51:35.645Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:51:35.645Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16780.614 ms) ======
[2025-06-30T17:51:35.645Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-30T17:51:35.645Z] GC before operation: completed in 121.920 ms, heap usage 222.353 MB -> 92.445 MB.
[2025-06-30T17:51:38.584Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:51:41.524Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:51:44.462Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:51:46.363Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:51:47.288Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:51:48.215Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:51:49.141Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:51:50.071Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:51:50.071Z] 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.
[2025-06-30T17:51:50.996Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:51:50.996Z] Top recommended movies for user id 72:
[2025-06-30T17:51:50.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:51:50.996Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:51:50.996Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:51:50.996Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:51:50.996Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:51:50.996Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14619.866 ms) ======
[2025-06-30T17:51:50.996Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-30T17:51:50.996Z] GC before operation: completed in 134.934 ms, heap usage 1.416 GB -> 97.821 MB.
[2025-06-30T17:51:52.915Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-30T17:51:54.816Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-30T17:51:56.717Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-30T17:51:57.642Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-30T17:51:59.570Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-30T17:52:00.496Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-30T17:52:01.423Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-30T17:52:03.335Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-30T17:52:03.335Z] 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.
[2025-06-30T17:52:03.335Z] The best model improves the baseline by 14.43%.
[2025-06-30T17:52:03.335Z] Top recommended movies for user id 72:
[2025-06-30T17:52:03.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-30T17:52:03.335Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-30T17:52:03.335Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-30T17:52:03.335Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-30T17:52:03.335Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-30T17:52:03.335Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12823.608 ms) ======
[2025-06-30T17:52:04.263Z] -----------------------------------
[2025-06-30T17:52:04.263Z] renaissance-movie-lens_0_PASSED
[2025-06-30T17:52:04.263Z] -----------------------------------
[2025-06-30T17:52:04.263Z]
[2025-06-30T17:52:04.263Z] TEST TEARDOWN:
[2025-06-30T17:52:04.263Z] Nothing to be done for teardown.
[2025-06-30T17:52:04.263Z] renaissance-movie-lens_0 Finish Time: Mon Jun 30 17:52:04 2025 Epoch Time (ms): 1751305924114