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OpenML
Task
Supervised Classification on rmftsa_ctoarrivals

Supervised Classification on rmftsa_ctoarrivals

Task 3676 Supervised Classification rmftsa_ctoarrivals 841 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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841 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 218.0924, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9357, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4505, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.947, kappa: 0.8877, kb_relative_information_score: 233.506, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4738, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4714, kb_relative_information_score: 45.0407, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.3812, predictive_accuracy: 0.6174, prior_entropy: 0.9604, recall: 0.6174, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2726, scimark_benchmark: 1333.5799, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9351, kappa: 0.8619, kb_relative_information_score: 227.0072, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9361, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5221, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9394, kappa: 0.8717, kb_relative_information_score: 210.1326, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4265, scimark_benchmark: 938.343, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.521, kappa: -0.0088, kb_relative_information_score: -11.2822, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.5234, predictive_accuracy: 0.5189, prior_entropy: 0.9604, recall: 0.5189, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.6936, root_relative_squared_error: 1.4271, scimark_benchmark: 935.5075, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9429, kappa: 0.8786, kb_relative_information_score: 204.8529, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4273, scimark_benchmark: 934.1747, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 181.5003, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9357, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.24, root_relative_squared_error: 0.4939, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9464, kappa: 0.8856, kb_relative_information_score: 220.2498, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9488, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4264, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9312, kappa: 0.8535, kb_relative_information_score: 199.0293, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9325, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5035, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9321, kappa: 0.8568, kb_relative_information_score: 222.3449, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9327, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4467, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9321, kappa: 0.8568, kb_relative_information_score: 224.8409, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9327, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5373, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9245, kappa: 0.8408, kb_relative_information_score: 210.9016, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9252, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4997, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9466, kappa: 0.8865, kb_relative_information_score: 219.9393, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9474, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4423, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9359, kappa: 0.865, kb_relative_information_score: 227.0072, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9369, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5221, scimark_benchmark: 1294.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7681, kappa: 0.5377, kb_relative_information_score: 129.5252, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8064, predictive_accuracy: 0.7652, prior_entropy: 0.9604, recall: 0.7652, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9971, scimark_benchmark: 1355.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9242, kappa: 0.8396, kb_relative_information_score: 212.865, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5343, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7306, kappa: 0.465, kb_relative_information_score: 107.8625, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.771, predictive_accuracy: 0.7273, prior_entropy: 0.9604, recall: 0.7273, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0745, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.928, kappa: 0.8474, kb_relative_information_score: 222.6747, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.552, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.4714, kb_relative_information_score: -0.0775, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.3812, predictive_accuracy: 0.6174, prior_entropy: 0.9604, recall: 0.6174, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 221.1145, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9357, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5018, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9387, kappa: 0.8693, kb_relative_information_score: 230.0414, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4809, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9315, kappa: 0.8546, kb_relative_information_score: 226.589, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9317, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4904, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9315, kappa: 0.8546, kb_relative_information_score: 222.8775, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9317, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4831, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9277, kappa: 0.8462, kb_relative_information_score: 220.0071, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4993, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9285, kappa: 0.8502, kb_relative_information_score: 221.6269, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9313, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.4976, scimark_benchmark: 936.7115, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9138, kappa: 0.8207, kb_relative_information_score: 205.8415, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9207, predictive_accuracy: 0.9129, prior_entropy: 0.9604, recall: 0.9129, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5432, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7783, kappa: 0.5684, kb_relative_information_score: 146.7302, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8395, predictive_accuracy: 0.7765, prior_entropy: 0.9604, recall: 0.7765, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8175, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8015, kappa: 0.6082, kb_relative_information_score: 125.5407, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8507, predictive_accuracy: 0.7992, prior_entropy: 0.9604, recall: 0.7992, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7675, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7627, kappa: 0.5423, kb_relative_information_score: 122.3338, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.8324, predictive_accuracy: 0.7614, prior_entropy: 0.9604, recall: 0.7614, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.469, root_relative_squared_error: 0.965, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9661, kappa: 0.9285, kb_relative_information_score: 235.9231, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9669, predictive_accuracy: 0.9659, prior_entropy: 0.9604, recall: 0.9659, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3539, scimark_benchmark: 938.4285, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9508, kappa: 0.896, kb_relative_information_score: 229.242, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.9604, recall: 0.9508, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3684, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9584, kappa: 0.9123, kb_relative_information_score: 223.3176, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9588, predictive_accuracy: 0.9583, prior_entropy: 0.9604, recall: 0.9583, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3715, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.947, kappa: 0.8877, kb_relative_information_score: 207.9558, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4107, scimark_benchmark: 947.9494,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 0.0215, build_memory: 771013077.9091, f_measure: 0.9359, kappa: 0.865, kb_relative_information_score: 222.0615, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9369, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4466, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.0653, build_memory: 690690210.1818, f_measure: 0.9697, kappa: 0.9359, kb_relative_information_score: 243.0618, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9604, recall: 0.9697, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3214, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, build_cpu_time: 0.0352, build_memory: 1599809952.0606, f_measure: 0.9659, kappa: 0.928, kb_relative_information_score: 238.8401, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.966, predictive_accuracy: 0.9659, prior_entropy: 0.9604, recall: 0.9659, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3292, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.0182, build_memory: 704406537.0909, f_measure: 0.9508, kappa: 0.896, kb_relative_information_score: 229.7635, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.9604, recall: 0.9508, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3875, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0088, build_memory: 1046918423.4546, f_measure: 0.9317, kappa: 0.8551, kb_relative_information_score: 221.8471, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9317, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4183, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 0.003, build_memory: 517628875, f_measure: 0.9312, kappa: 0.8535, kb_relative_information_score: 209.5247, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9325, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.439, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 0.0054, build_memory: 414796751.8182, f_measure: 0.9239, kappa: 0.8384, kb_relative_information_score: 215.8692, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9241, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.5106, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, build_cpu_time: 0.0091, build_memory: 1418542818.7576, f_measure: 0.9277, kappa: 0.8462, kb_relative_information_score: 220.2614, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4986, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 0.0112, build_memory: 1535675775.3939, f_measure: 0.9277, kappa: 0.8462, kb_relative_information_score: 220.0071, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4993, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 0.0119, build_memory: 1966043237.1515, f_measure: 0.9277, kappa: 0.8462, kb_relative_information_score: 220.0071, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4993, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 0.0208, build_memory: 374384477.3636, f_measure: 0.9277, kappa: 0.8462, kb_relative_information_score: 220.0071, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4993, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, build_cpu_time: 0.7135, build_memory: 989621597.3333, f_measure: 0.9394, kappa: 0.8717, kb_relative_information_score: 229.6299, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9604, recall: 0.9394, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4809, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, build_cpu_time: 1.401, build_memory: 49831690.697, f_measure: 0.947, kappa: 0.8877, kb_relative_information_score: 232.2125, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4748, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, build_cpu_time: 2.3451, build_memory: 209175380.3636, f_measure: 0.9358, kappa: 0.8645, kb_relative_information_score: 225.8258, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9362, predictive_accuracy: 0.9356, prior_entropy: 0.9604, recall: 0.9356, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5228, scimark_benchmark: 943.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, build_cpu_time: 10.631, build_memory: 1269557594.7576, f_measure: 0.9242, kappa: 0.8396, kb_relative_information_score: 220.7162, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5628, scimark_benchmark: 888.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, build_cpu_time: 8.5658, build_memory: 121520748.5455, f_measure: 0.9242, kappa: 0.8396, kb_relative_information_score: 220.5131, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5662, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 4.8884, build_memory: 965462220.697, f_measure: 0.9431, kappa: 0.8795, kb_relative_information_score: 231.5031, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9431, predictive_accuracy: 0.9432, prior_entropy: 0.9604, recall: 0.9432, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4869, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, build_cpu_time: 2.3771, build_memory: 900722443.0303, f_measure: 0.9281, kappa: 0.8479, kb_relative_information_score: 223.3516, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9282, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5378, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, build_cpu_time: 1.1435, build_memory: 368962285.1818, f_measure: 0.928, kappa: 0.8474, kb_relative_information_score: 222.2022, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 0.9604, recall: 0.928, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5467, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 0.1652, build_memory: 226337639.697, f_measure: 0.951, kappa: 0.8967, kb_relative_information_score: 233.9966, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9519, predictive_accuracy: 0.9508, prior_entropy: 0.9604, recall: 0.9508, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.444, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, build_cpu_time: 0.283, build_memory: 267135164.5758, f_measure: 0.9471, kappa: 0.8882, kb_relative_information_score: 231.3839, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9473, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4761, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 0.7336, build_memory: 735193172.4848, f_measure: 0.9319, kappa: 0.8562, kb_relative_information_score: 225.8763, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9322, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5223, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, build_cpu_time: 1.3739, build_memory: 1688036002.7273, f_measure: 0.9319, kappa: 0.8562, kb_relative_information_score: 224.9932, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9322, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5344, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, build_cpu_time: 2.7482, build_memory: 235668750.9091, f_measure: 0.9319, kappa: 0.8562, kb_relative_information_score: 224.8705, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9322, predictive_accuracy: 0.9318, prior_entropy: 0.9604, recall: 0.9318, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5367, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, build_cpu_time: 0.0712, build_memory: 644284653.6364, f_measure: 0.9468, kappa: 0.8869, kb_relative_information_score: 231.9146, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9604, recall: 0.947, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4675, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, build_cpu_time: 0.0822, build_memory: 717008367.9394, f_measure: 0.9506, kappa: 0.8952, kb_relative_information_score: 234.073, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.9604, recall: 0.9508, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.45, scimark_benchmark: 902.712,

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

OpenML bootcamp

From your own software

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

OpenML APIs