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OpenML
OpenML
Supervised Classification on analcatdata_seropositive

Supervised Classification on analcatdata_seropositive

Task 3784 Supervised Classification analcatdata_seropositive 872 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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872 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9697, kappa: 0.9333, kb_relative_information_score: 119.552, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.322, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9383, kappa: 0.8624, kb_relative_information_score: 113.4467, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9417, predictive_accuracy: 0.9394, prior_entropy: 0.9347, recall: 0.9394, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.5167, 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: 0.514, kb_relative_information_score: 26.6663, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.4245, predictive_accuracy: 0.6515, prior_entropy: 0.9347, recall: 0.6515, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.2389, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 122.5815, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3653, scimark_benchmark: 1297.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9308, kappa: 0.846, kb_relative_information_score: 104.2739, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9329, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.458, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9086, kappa: 0.7978, kb_relative_information_score: 104.3119, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9086, predictive_accuracy: 0.9091, prior_entropy: 0.9347, recall: 0.9091, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6328, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9618, kappa: 0.9153, kb_relative_information_score: 101.0878, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4481, scimark_benchmark: 942.9708, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.6038, kappa: 0.148, kb_relative_information_score: 38.0847, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.7417, predictive_accuracy: 0.6894, prior_entropy: 0.9347, recall: 0.6894, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1696, scimark_benchmark: 934.0566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8894, kappa: 0.7513, kb_relative_information_score: 96.4701, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9033, predictive_accuracy: 0.8939, prior_entropy: 0.9347, recall: 0.8939, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.591, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8978, kappa: 0.7703, kb_relative_information_score: 92.3528, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9094, predictive_accuracy: 0.9015, prior_entropy: 0.9347, recall: 0.9015, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5671, scimark_benchmark: 918.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8894, kappa: 0.7513, kb_relative_information_score: 92.7129, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9033, predictive_accuracy: 0.8939, prior_entropy: 0.9347, recall: 0.8939, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5836, scimark_benchmark: 934.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9622, kappa: 0.917, kb_relative_information_score: 112.5355, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9624, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3983, scimark_benchmark: 893.0505, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9695, kappa: 0.9326, kb_relative_information_score: 113.8499, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3652, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9471, kappa: 0.8838, kb_relative_information_score: 115.7304, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9473, predictive_accuracy: 0.947, prior_entropy: 0.9347, recall: 0.947, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4833, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9618, kappa: 0.9153, kb_relative_information_score: 114.6175, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4055, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9618, kappa: 0.9153, kb_relative_information_score: 115.9516, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4042, scimark_benchmark: 1355.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9618, kappa: 0.9153, kb_relative_information_score: 120.2978, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4085, scimark_benchmark: 1330.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.7803, kappa: 0.5063, kb_relative_information_score: 72.3402, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.8361, predictive_accuracy: 0.803, prior_entropy: 0.9347, recall: 0.803, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9314, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 113.6453, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9347, recall: 0.9545, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4414, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8766, kappa: 0.7247, kb_relative_information_score: 95.1772, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.8785, predictive_accuracy: 0.8788, prior_entropy: 0.9347, recall: 0.8788, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7307, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9242, kappa: 0.8332, kb_relative_information_score: 108.8793, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5776, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.514, kb_relative_information_score: -0.2867, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.4245, predictive_accuracy: 0.6515, prior_entropy: 0.9347, recall: 0.6515, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0006, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9618, kappa: 0.9153, kb_relative_information_score: 115.7939, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4041, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9308, kappa: 0.846, kb_relative_information_score: 111.0408, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9329, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5359, scimark_benchmark: 927.0753, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 101.3084, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5391, scimark_benchmark: 876.8277, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 101.3084, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5391, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9234, kappa: 0.8297, kb_relative_information_score: 101.3084, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9244, predictive_accuracy: 0.9242, prior_entropy: 0.9347, recall: 0.9242, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5391, scimark_benchmark: 894.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9313, kappa: 0.8475, kb_relative_information_score: 110.8704, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9318, predictive_accuracy: 0.9318, prior_entropy: 0.9347, recall: 0.9318, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5265, scimark_benchmark: 936.7115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9391, kappa: 0.8652, kb_relative_information_score: 113.3158, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9392, predictive_accuracy: 0.9394, prior_entropy: 0.9347, recall: 0.9394, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.4777, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.906, kappa: 0.7891, kb_relative_information_score: 104.323, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9157, predictive_accuracy: 0.9091, prior_entropy: 0.9347, recall: 0.9091, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.592, scimark_benchmark: 936.6206, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8986, kappa: 0.7728, kb_relative_information_score: 102.7348, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9057, predictive_accuracy: 0.9015, prior_entropy: 0.9347, recall: 0.9015, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.6088, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.906, kappa: 0.7891, kb_relative_information_score: 100.2006, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9157, predictive_accuracy: 0.9091, prior_entropy: 0.9347, recall: 0.9091, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6406, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9468, kappa: 0.8826, kb_relative_information_score: 115.1148, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9468, predictive_accuracy: 0.947, prior_entropy: 0.9347, recall: 0.947, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4705, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9468, kappa: 0.8826, kb_relative_information_score: 113.471, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9468, predictive_accuracy: 0.947, prior_entropy: 0.9347, recall: 0.947, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4638, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, build_cpu_time: 3.0691, build_memory: 1333749436.3636, f_measure: 0.9548, kappa: 0.9009, kb_relative_information_score: 118.0142, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9554, predictive_accuracy: 0.9545, prior_entropy: 0.9347, recall: 0.9545, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4474, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, build_cpu_time: 1.6191, build_memory: 570093177.7576, f_measure: 0.9548, kappa: 0.9009, kb_relative_information_score: 118.2917, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9554, predictive_accuracy: 0.9545, prior_entropy: 0.9347, recall: 0.9545, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4347, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, build_cpu_time: 0.7406, build_memory: 127042383.2727, f_measure: 0.9548, kappa: 0.9009, kb_relative_information_score: 118.0141, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9554, predictive_accuracy: 0.9545, prior_entropy: 0.9347, recall: 0.9545, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4474, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 0.3585, build_memory: 1641537102.4242, f_measure: 0.9622, kappa: 0.917, kb_relative_information_score: 119.7676, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9624, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4111, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, build_cpu_time: 0.0635, build_memory: 504923071.697, f_measure: 0.9697, kappa: 0.9333, kb_relative_information_score: 122.2663, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3668, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 0.0856, build_memory: 193403965.7576, f_measure: 0.9697, kappa: 0.9333, kb_relative_information_score: 122.1386, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3682, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 0.3401, build_memory: 574882290.2424, f_measure: 0.9622, kappa: 0.917, kb_relative_information_score: 120.2978, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9624, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4085, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 0.6044, build_memory: 265807163.2727, f_measure: 0.9622, kappa: 0.917, kb_relative_information_score: 120.2978, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9624, predictive_accuracy: 0.9621, prior_entropy: 0.9347, recall: 0.9621, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4085, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, build_cpu_time: 0.0188, build_memory: 1388785691.0909, f_measure: 0.9697, kappa: 0.9333, kb_relative_information_score: 122.195, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4548, number_of_instances: 132, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9347, recall: 0.9697, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4765, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3432, scimark_benchmark: 922.3661,

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