Task
Supervised Classification on bolts

Supervised Classification on bolts

Task 4426 Supervised Classification bolts 234 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 1317.5348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 1256.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9599, kappa: 0.9115, kb_relative_information_score: 322.8279, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.9403, recall: 0.96, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4263, scimark_benchmark: 1303.9481, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9291, kappa: 0.8425, kb_relative_information_score: 265.7883, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5506, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.9004, kappa: 0.778, kb_relative_information_score: 271.5293, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9041, predictive_accuracy: 0.9025, prior_entropy: 0.9403, recall: 0.9025, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6393, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9599, kappa: 0.9115, kb_relative_information_score: 322.8279, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.9403, recall: 0.96, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4263, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9291, kappa: 0.8425, kb_relative_information_score: 265.7883, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5506, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 282.481, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5681, scimark_benchmark: 1368.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 1369.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9599, kappa: 0.9115, kb_relative_information_score: 322.8279, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.9403, recall: 0.96, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4263, scimark_benchmark: 1297.2338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9291, kappa: 0.8425, kb_relative_information_score: 265.7883, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5506, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9377, kappa: 0.8638, kb_relative_information_score: 341.7846, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9383, predictive_accuracy: 0.9375, prior_entropy: 0.9403, recall: 0.9375, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5172, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.9004, kappa: 0.778, kb_relative_information_score: 271.5293, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9041, predictive_accuracy: 0.9025, prior_entropy: 0.9403, recall: 0.9025, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6393, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.8097, kappa: 0.581, kb_relative_information_score: 215.6926, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8094, predictive_accuracy: 0.81, prior_entropy: 0.9403, recall: 0.81, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8911, scimark_benchmark: 1341.1616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8667, kappa: 0.7054, kb_relative_information_score: 250.3784, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8664, predictive_accuracy: 0.8675, prior_entropy: 0.9403, recall: 0.8675, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7571, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9353, kappa: 0.8585, kb_relative_information_score: 338.7201, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9361, predictive_accuracy: 0.935, prior_entropy: 0.9403, recall: 0.935, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5345, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.8239, kappa: 0.6168, kb_relative_information_score: 237.1286, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8267, predictive_accuracy: 0.8225, prior_entropy: 0.9403, recall: 0.8225, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8832, scimark_benchmark: 1345.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9292, kappa: 0.843, kb_relative_information_score: 325.3425, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9303, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5081, scimark_benchmark: 892.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9223, kappa: 0.8288, kb_relative_information_score: 317.3219, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9222, predictive_accuracy: 0.9225, prior_entropy: 0.9403, recall: 0.9225, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5257, scimark_benchmark: 1309.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 1261.7298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8818, kappa: 0.7387, kb_relative_information_score: 84.9021, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8816, predictive_accuracy: 0.8825, prior_entropy: 0.9403, recall: 0.8825, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8629, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7991, kappa: 0.5507, kb_relative_information_score: 221.3249, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8023, predictive_accuracy: 0.805, prior_entropy: 0.9403, recall: 0.805, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9257, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8952, kappa: 0.77, kb_relative_information_score: 298.4227, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8954, predictive_accuracy: 0.895, prior_entropy: 0.9403, recall: 0.895, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6078, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9151, kappa: 0.8102, kb_relative_information_score: 235.1296, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9228, predictive_accuracy: 0.9175, prior_entropy: 0.9403, recall: 0.9175, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5798, scimark_benchmark: 934.1747, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9161, kappa: 0.8135, kb_relative_information_score: 265.5451, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9186, predictive_accuracy: 0.9175, prior_entropy: 0.9403, recall: 0.9175, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5513, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9062, kappa: 0.7915, kb_relative_information_score: 264.5393, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9077, predictive_accuracy: 0.9075, prior_entropy: 0.9403, recall: 0.9075, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5587, scimark_benchmark: 924.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9086, kappa: 0.7968, kb_relative_information_score: 261.1141, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9105, predictive_accuracy: 0.91, prior_entropy: 0.9403, recall: 0.91, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5766, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8866, kappa: 0.749, kb_relative_information_score: 280.341, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8867, predictive_accuracy: 0.8875, prior_entropy: 0.9403, recall: 0.8875, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6884, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9302, kappa: 0.8472, kb_relative_information_score: 335.2032, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9306, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5454, scimark_benchmark: 924.3698, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.9377, kappa: 0.8638, kb_relative_information_score: 341.717, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9383, predictive_accuracy: 0.9375, prior_entropy: 0.9403, recall: 0.9375, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5176, scimark_benchmark: 915.9693, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9377, kappa: 0.8638, kb_relative_information_score: 341.717, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9383, predictive_accuracy: 0.9375, prior_entropy: 0.9403, recall: 0.9375, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5176, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9377, kappa: 0.8638, kb_relative_information_score: 341.6884, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9383, predictive_accuracy: 0.9375, prior_entropy: 0.9403, recall: 0.9375, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5167, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9224, kappa: 0.8294, kb_relative_information_score: 325.6607, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9403, recall: 0.9225, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5388, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8137, kappa: 0.5808, kb_relative_information_score: 230.5996, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8353, predictive_accuracy: 0.825, prior_entropy: 0.9403, recall: 0.825, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7205, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8216, kappa: 0.6005, kb_relative_information_score: 231.2068, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8273, predictive_accuracy: 0.8275, prior_entropy: 0.9403, recall: 0.8275, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.755, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8372, kappa: 0.6489, kb_relative_information_score: 248.417, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8436, predictive_accuracy: 0.835, prior_entropy: 0.9403, recall: 0.835, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8515, scimark_benchmark: 854.5188,

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