OpenML
Supervised Classification on glass

Supervised Classification on glass

Task 40 Supervised Classification glass 684 runs submitted
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  • basic study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, build_cpu_time: 0.004, build_memory: 1300111714.7664, f_measure: 0.566, kappa: 0.4448, kb_relative_information_score: 79.5215, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5331, predictive_accuracy: 0.6168, prior_entropy: 2.2315, recall: 0.6168, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8947, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, build_cpu_time: 0.0044, build_memory: 627333813.4953, f_measure: 0.566, kappa: 0.4448, kb_relative_information_score: 79.5215, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5331, predictive_accuracy: 0.6168, prior_entropy: 2.2315, recall: 0.6168, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8947, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, build_cpu_time: 0.0039, build_memory: 845151170.9159, f_measure: 0.566, kappa: 0.4448, kb_relative_information_score: 79.5215, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5331, predictive_accuracy: 0.6168, prior_entropy: 2.2315, recall: 0.6168, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8947, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, build_cpu_time: 0.0076, build_memory: 313398022.9159, f_measure: 0.566, kappa: 0.4448, kb_relative_information_score: 79.5215, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5331, predictive_accuracy: 0.6168, prior_entropy: 2.2315, recall: 0.6168, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8947, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, build_cpu_time: 0.0088, build_memory: 967549708.785, f_measure: 0.566, kappa: 0.4448, kb_relative_information_score: 79.5215, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5331, predictive_accuracy: 0.6168, prior_entropy: 2.2315, recall: 0.6168, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8947, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, build_cpu_time: 0.0128, build_memory: 177529934.3551, f_measure: 0.5755, kappa: 0.4628, kb_relative_information_score: 81.148, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5692, predictive_accuracy: 0.6262, prior_entropy: 2.2315, recall: 0.6262, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.8763, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, build_cpu_time: 0.0159, build_memory: 414863157.6822, f_measure: 0.5763, kappa: 0.4743, kb_relative_information_score: 81.7837, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.582, predictive_accuracy: 0.6355, prior_entropy: 2.2315, recall: 0.6355, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8598, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, build_cpu_time: 0.0152, build_memory: 1120232554.6168, f_measure: 0.5763, kappa: 0.4743, kb_relative_information_score: 81.7837, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.582, predictive_accuracy: 0.6355, prior_entropy: 2.2315, recall: 0.6355, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8598, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, build_cpu_time: 0.0209, build_memory: 806560867.2897, f_measure: 0.5763, kappa: 0.4743, kb_relative_information_score: 81.7837, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.582, predictive_accuracy: 0.6355, prior_entropy: 2.2315, recall: 0.6355, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8598, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.0767, build_memory: 646132874.8037, f_measure: 0.6969, kappa: 0.5926, kb_relative_information_score: 125.1353, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7015, predictive_accuracy: 0.7056, prior_entropy: 2.2315, recall: 0.7056, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7279, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, build_cpu_time: 0.0725, build_memory: 867063067.1402, f_measure: 0.459, kappa: 0.3154, kb_relative_information_score: 91.5464, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4893, predictive_accuracy: 0.5, prior_entropy: 2.2315, recall: 0.5, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9539, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, build_cpu_time: 40.2112, build_memory: 577671264.1869, f_measure: 0.6703, kappa: 0.577, kb_relative_information_score: 120.3221, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6523, predictive_accuracy: 0.6963, prior_entropy: 2.2315, recall: 0.6963, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.7419, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 111.9986, build_memory: 63969584.9346, f_measure: 0.6705, kappa: 0.5762, kb_relative_information_score: 120.0399, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6536, predictive_accuracy: 0.6963, prior_entropy: 2.2315, recall: 0.6963, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.7416, scimark_benchmark: 940.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, build_cpu_time: 0.0248, build_memory: 74888047.5514, f_measure: 0.4153, kappa: 0.3072, kb_relative_information_score: 69.4421, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4409, predictive_accuracy: 0.5, prior_entropy: 2.2315, recall: 0.5, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8911, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, build_cpu_time: 0.0118, build_memory: 1328828615.5514, f_measure: 0.402, kappa: 0.3016, kb_relative_information_score: 69.1226, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4563, predictive_accuracy: 0.4953, prior_entropy: 2.2315, recall: 0.4953, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.8927, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, build_cpu_time: 0.0082, build_memory: 748869110.3178, f_measure: 0.3846, kappa: 0.282, kb_relative_information_score: 68.5059, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4171, predictive_accuracy: 0.4813, prior_entropy: 2.2315, recall: 0.4813, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.8966, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, build_cpu_time: 0.0035, build_memory: 147153711.215, f_measure: 0.3805, kappa: 0.2815, kb_relative_information_score: 68.5238, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4268, predictive_accuracy: 0.4813, prior_entropy: 2.2315, recall: 0.4813, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8964, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, build_cpu_time: 0.0016, build_memory: 1276347480.0748, f_measure: 0.4052, kappa: 0.3001, kb_relative_information_score: 68.4784, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4312, predictive_accuracy: 0.4953, prior_entropy: 2.2315, recall: 0.4953, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8975, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, build_cpu_time: 0.0014, build_memory: 306005008.5234, f_measure: 0.4052, kappa: 0.3001, kb_relative_information_score: 68.4784, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4312, predictive_accuracy: 0.4953, prior_entropy: 2.2315, recall: 0.4953, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8975, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 4.122, build_memory: 2035534061.0841, f_measure: 0.7458, kappa: 0.6559, kb_relative_information_score: 136.3346, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.749, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7083, scimark_benchmark: 998.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, build_cpu_time: 10.5979, build_memory: 1094900523.8131, f_measure: 0.7512, kappa: 0.6608, kb_relative_information_score: 137.1321, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7521, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.6926, scimark_benchmark: 998.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, build_cpu_time: 18.4674, build_memory: 206835586.5421, f_measure: 0.7641, kappa: 0.6788, kb_relative_information_score: 138.3944, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.765, predictive_accuracy: 0.7664, prior_entropy: 2.2315, recall: 0.7664, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.219, root_relative_squared_error: 0.6751, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, build_cpu_time: 37.4939, build_memory: 890736340.2617, f_measure: 0.7388, kappa: 0.6457, kb_relative_information_score: 137.6855, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7406, predictive_accuracy: 0.743, prior_entropy: 2.2315, recall: 0.743, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6795, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 76.3571, build_memory: 2622582244.3738, f_measure: 0.7548, kappa: 0.666, kb_relative_information_score: 137.1688, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7575, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.6827, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, build_cpu_time: 0.8443, build_memory: 2401036961.3458, f_measure: 0.6932, kappa: 0.5929, kb_relative_information_score: 120.8351, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7398, predictive_accuracy: 0.7103, prior_entropy: 2.2315, recall: 0.7103, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.7153, scimark_benchmark: 944.3516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, build_cpu_time: 1.6288, build_memory: 421576694.8785, f_measure: 0.7024, kappa: 0.607, kb_relative_information_score: 120.5369, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7215, predictive_accuracy: 0.7196, prior_entropy: 2.2315, recall: 0.7196, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.7173, scimark_benchmark: 942.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 0.3682, build_memory: 926587390.6168, f_measure: 0.7262, kappa: 0.6298, kb_relative_information_score: 131.2063, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.732, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7004, scimark_benchmark: 891.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 0.4435, build_memory: 1239044469.0467, f_measure: 0.7262, kappa: 0.6298, kb_relative_information_score: 131.2063, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.732, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7004, scimark_benchmark: 945.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 0.4172, build_memory: 88486106.0187, f_measure: 0.7262, kappa: 0.6298, kb_relative_information_score: 131.2063, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.732, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7004, scimark_benchmark: 945.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 0.3912, build_memory: 734083893.7196, f_measure: 0.7262, kappa: 0.6298, kb_relative_information_score: 131.2063, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.732, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7004, scimark_benchmark: 941.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, build_cpu_time: 0.1906, build_memory: 506291736.2617, f_measure: 0.7434, kappa: 0.656, kb_relative_information_score: 131.0448, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7488, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.701, scimark_benchmark: 919.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, build_cpu_time: 0.1945, build_memory: 330177765.3832, f_measure: 0.7434, kappa: 0.656, kb_relative_information_score: 131.0448, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7488, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.701, scimark_benchmark: 927.5724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, build_cpu_time: 0.1342, build_memory: 1765600620.5234, f_measure: 0.7484, kappa: 0.6621, kb_relative_information_score: 131.6079, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7021, scimark_benchmark: 943.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, build_cpu_time: 0.0708, build_memory: 672534996.0748, f_measure: 0.7286, kappa: 0.6376, kb_relative_information_score: 129.673, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7346, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7201, scimark_benchmark: 947.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 0.0074, build_memory: 16919564.8972, f_measure: 0.6753, kappa: 0.5606, kb_relative_information_score: 124.9449, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6754, predictive_accuracy: 0.6776, prior_entropy: 2.2315, recall: 0.6776, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.878, scimark_benchmark: 947.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.4965, kappa: 0.3486, kb_relative_information_score: 23.0795, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4637, predictive_accuracy: 0.5421, prior_entropy: 2.2315, recall: 0.5421, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3279, root_relative_squared_error: 1.0107, scimark_benchmark: 944.0696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7278, kappa: 0.6298, kb_relative_information_score: 123.3377, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7279, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.8038, scimark_benchmark: 944.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7942, kappa: 0.7304, kb_relative_information_score: 131.5357, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.8041, predictive_accuracy: 0.8037, prior_entropy: 2.2315, recall: 0.8037, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.214, root_relative_squared_error: 0.6596, scimark_benchmark: 932.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.7434, kappa: 0.6546, kb_relative_information_score: 132.3465, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7445, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7044, scimark_benchmark: 595.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.545, kappa: 0.401, kb_relative_information_score: 14.8521, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5342, predictive_accuracy: 0.5888, prior_entropy: 2.2315, recall: 0.5888, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.0014, scimark_benchmark: 594.9093,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 593.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 594.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.5797, kappa: 0.4778, kb_relative_information_score: 81.4546, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5808, predictive_accuracy: 0.6355, prior_entropy: 2.2315, recall: 0.6355, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.8588, scimark_benchmark: 574.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.7302, kappa: 0.632, kb_relative_information_score: 138.6381, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7316, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.8061, scimark_benchmark: 895.6158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.4052, kappa: 0.3001, kb_relative_information_score: 68.4784, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4312, predictive_accuracy: 0.4953, prior_entropy: 2.2315, recall: 0.4953, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8975, scimark_benchmark: 595.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 594.7166,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7312, kappa: 0.6349, kb_relative_information_score: 140.536, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7322, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.8253, scimark_benchmark: 945.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.2837, kappa: 0.243, kb_relative_information_score: 59.3451, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2075, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.936, scimark_benchmark: 939.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.7474, kappa: 0.6621, kb_relative_information_score: 144.2542, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7527, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7111, scimark_benchmark: 944.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.7458, kappa: 0.6559, kb_relative_information_score: 136.5944, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.749, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7072, scimark_benchmark: 946.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.545, kappa: 0.401, kb_relative_information_score: 14.8521, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5342, predictive_accuracy: 0.5888, prior_entropy: 2.2315, recall: 0.5888, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.0014, scimark_benchmark: 944.5382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7858, kappa: 0.7111, kb_relative_information_score: 151.1839, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7857, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.753, scimark_benchmark: 920.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.5276, kappa: 0.3739, kb_relative_information_score: 23.3145, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5161, predictive_accuracy: 0.5701, prior_entropy: 2.2315, recall: 0.5701, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.9812, scimark_benchmark: 945.4296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.776, kappa: 0.6976, kb_relative_information_score: 144.6318, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7783, predictive_accuracy: 0.7804, prior_entropy: 2.2315, recall: 0.7804, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7693, scimark_benchmark: 904.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.7469, kappa: 0.6585, kb_relative_information_score: 140.0589, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7484, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.7731, scimark_benchmark: 948.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 943.3875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7, kappa: 0.597, kb_relative_information_score: 84.3458, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7033, predictive_accuracy: 0.7103, prior_entropy: 2.2315, recall: 0.7103, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8291, scimark_benchmark: 946.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7484, kappa: 0.6621, kb_relative_information_score: 131.6079, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7021, scimark_benchmark: 935.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.364, kappa: 0.2776, kb_relative_information_score: 57.3964, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4371, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9335, scimark_benchmark: 904.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.2916, kappa: 0.2399, kb_relative_information_score: 68.3595, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3848, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9047, scimark_benchmark: 926.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 945.1288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7198, kappa: 0.6309, kb_relative_information_score: 140.1955, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7319, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.7654, scimark_benchmark: 925.0362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7879, kappa: 0.7171, kb_relative_information_score: 135.9034, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7888, predictive_accuracy: 0.7944, prior_entropy: 2.2315, recall: 0.7944, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.6578, scimark_benchmark: 923.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.7679, kappa: 0.6926, kb_relative_information_score: 130.0666, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7739, predictive_accuracy: 0.7757, prior_entropy: 2.2315, recall: 0.7757, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.696, scimark_benchmark: 919.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.6865, kappa: 0.5754, kb_relative_information_score: 125.0606, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6895, predictive_accuracy: 0.6869, prior_entropy: 2.2315, recall: 0.6869, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9064, scimark_benchmark: 926.1321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 919.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.7822, kappa: 0.7044, kb_relative_information_score: 148.455, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.785, predictive_accuracy: 0.785, prior_entropy: 2.2315, recall: 0.785, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7392, scimark_benchmark: 943.3481,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7523, kappa: 0.6651, kb_relative_information_score: 144.532, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7536, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.7927, scimark_benchmark: 938.0255,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.3558, kappa: 0.2715, kb_relative_information_score: 57.3234, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4412, predictive_accuracy: 0.472, prior_entropy: 2.2315, recall: 0.472, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9316, scimark_benchmark: 918.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.657, kappa: 0.5349, kb_relative_information_score: 117.3876, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6563, predictive_accuracy: 0.6589, prior_entropy: 2.2315, recall: 0.6589, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8669, scimark_benchmark: 948.1126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 935.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7372, kappa: 0.6537, kb_relative_information_score: 122.7561, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7594, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.7113, scimark_benchmark: 916.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.6851, kappa: 0.5875, kb_relative_information_score: 126.892, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6894, predictive_accuracy: 0.6963, prior_entropy: 2.2315, recall: 0.6963, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.7747, scimark_benchmark: 945.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 938.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.7286, kappa: 0.6376, kb_relative_information_score: 129.673, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7346, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7201, scimark_benchmark: 944.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.6861, kappa: 0.59, kb_relative_information_score: 129.6517, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.681, predictive_accuracy: 0.7056, prior_entropy: 2.2315, recall: 0.7056, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.8525, scimark_benchmark: 940.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 944.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.764, kappa: 0.6852, kb_relative_information_score: 148.0243, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7641, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7715, scimark_benchmark: 926.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.2916, kappa: 0.2399, kb_relative_information_score: 68.3595, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3848, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9047, scimark_benchmark: 910.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.7467, kappa: 0.6653, kb_relative_information_score: 131.0298, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7585, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.7055, scimark_benchmark: 929.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.6211, kappa: 0.5098, kb_relative_information_score: 90.2678, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6041, predictive_accuracy: 0.6542, prior_entropy: 2.2315, recall: 0.6542, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.8298, scimark_benchmark: 925.3079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7944, kappa: 0.7236, kb_relative_information_score: 150.4486, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7979, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.239, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7531, kappa: 0.6714, kb_relative_information_score: 143.2934, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7567, predictive_accuracy: 0.7617, prior_entropy: 2.2315, recall: 0.7617, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.7805, scimark_benchmark: 860.1755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.281, kappa: 0.2271, kb_relative_information_score: 60.4862, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2065, predictive_accuracy: 0.4439, prior_entropy: 2.2315, recall: 0.4439, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.2285, scimark_benchmark: 931.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7081, kappa: 0.6063, kb_relative_information_score: 131.6502, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7084, predictive_accuracy: 0.715, prior_entropy: 2.2315, recall: 0.715, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8249, scimark_benchmark: 944.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.7474, kappa: 0.6621, kb_relative_information_score: 144.2542, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7527, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7111, scimark_benchmark: 916.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.7335, kappa: 0.642, kb_relative_information_score: 121.8777, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7402, predictive_accuracy: 0.743, prior_entropy: 2.2315, recall: 0.743, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.7421, scimark_benchmark: 901.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.761, kappa: 0.679, kb_relative_information_score: 130.2366, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7694, predictive_accuracy: 0.7664, prior_entropy: 2.2315, recall: 0.7664, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.6927, scimark_benchmark: 943.4562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7792, kappa: 0.7042, kb_relative_information_score: 148.4891, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7809, predictive_accuracy: 0.785, prior_entropy: 2.2315, recall: 0.785, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7622, scimark_benchmark: 919.4058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.712, kappa: 0.6153, kb_relative_information_score: 133.9257, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7167, predictive_accuracy: 0.7243, prior_entropy: 2.2315, recall: 0.7243, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.8441, scimark_benchmark: 913.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.5622, kappa: 0.4518, kb_relative_information_score: 81.4735, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5648, predictive_accuracy: 0.6168, prior_entropy: 2.2315, recall: 0.6168, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.281, root_relative_squared_error: 0.866, scimark_benchmark: 932.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.6986, kappa: 0.5917, kb_relative_information_score: 118.3385, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7056, predictive_accuracy: 0.7056, prior_entropy: 2.2315, recall: 0.7056, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.7942, scimark_benchmark: 933.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.6143, kappa: 0.4754, kb_relative_information_score: 103.5731, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6162, predictive_accuracy: 0.6215, prior_entropy: 2.2315, recall: 0.6215, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.8576, scimark_benchmark: 947.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.6851, kappa: 0.5875, kb_relative_information_score: 126.892, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6894, predictive_accuracy: 0.6963, prior_entropy: 2.2315, recall: 0.6963, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.7747, scimark_benchmark: 935.9479,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs