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Function: require_once

OpenML
OpenML
Supervised Classification on wine

Supervised Classification on wine

Task 3045 Supervised Classification wine 294 runs submitted
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294 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.948, kappa: 0.9205, kb_relative_information_score: 51.8738, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9532, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3602, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2957, kb_relative_information_score: 8.5554, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0764, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 34.9955, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6005, scimark_benchmark: 912.5006, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9308, kappa: 0.8934, kb_relative_information_score: 51.6746, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9328, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3435, scimark_benchmark: 1337.7959, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8793, kappa: 0.8166, kb_relative_information_score: 47.9314, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8969, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6103, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.948, kappa: 0.9196, kb_relative_information_score: 52.4592, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9486, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2807, scimark_benchmark: 1315.3881, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8953, kappa: 0.8392, kb_relative_information_score: 47.2839, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8966, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4061, scimark_benchmark: 1336.2509, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9296, kappa: 0.8916, kb_relative_information_score: 51.4149, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9361, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4613, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8439, kappa: 0.7652, kb_relative_information_score: 43.0965, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8624, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6495, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8262, kappa: 0.7377, kb_relative_information_score: 41.9796, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8381, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.7072, scimark_benchmark: 1346.9602, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9308, kappa: 0.8934, kb_relative_information_score: 51.7709, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9328, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4613, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.1134, kappa: -0.0285, kb_relative_information_score: -2.0883, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.0726, predictive_accuracy: 0.2586, prior_entropy: 1.5674, recall: 0.2586, relative_absolute_error: 1.1347, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.703, root_relative_squared_error: 1.5125, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.843, kappa: 0.7612, kb_relative_information_score: 44.35, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8506, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6878, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7541, kappa: 0.6347, kb_relative_information_score: 38.4032, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.7667, predictive_accuracy: 0.7586, prior_entropy: 1.5674, recall: 0.7586, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.863, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8262, kappa: 0.7377, kb_relative_information_score: 43.5233, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8381, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7294, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2957, kb_relative_information_score: 0.1253, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.007, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8423, kappa: 0.76, kb_relative_information_score: 44.35, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6878, scimark_benchmark: 1501.4698, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.902, build_memory: 1109936704, f_measure: 1, kappa: 1, kb_relative_information_score: 57.21, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, root_mean_prior_squared_error: 0.4648, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.458, build_memory: 682114112, f_measure: 1, kappa: 1, kb_relative_information_score: 57.21, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, root_mean_prior_squared_error: 0.4648, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.235, build_memory: 1223169256, f_measure: 1, kappa: 1, kb_relative_information_score: 57.2096, mean_absolute_error: 0, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0001, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.259, build_memory: 860516936, f_measure: 1, kappa: 1, kb_relative_information_score: 57.0777, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.0143, root_relative_squared_error: 0.0308, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 0.013, build_memory: 953913568, f_measure: 0.8793, kappa: 0.8145, kb_relative_information_score: 47.0454, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8841, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5943, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 0.018, build_memory: 791644376, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 49.5816, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5319, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.024, build_memory: 764274296, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 49.455, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5375, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.038, build_memory: 473305376, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 49.455, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5375, scimark_benchmark: 941.8181,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 0.003, build_memory: 277325736, f_measure: 0.8766, kappa: 0.8183, kb_relative_information_score: 48.0031, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.902, predictive_accuracy: 0.8793, prior_entropy: 1.5674, recall: 0.8793, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6103, scimark_benchmark: 941.8828,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 0.014, build_memory: 1246654696, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 34.9955, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6005, scimark_benchmark: 945.7844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, build_cpu_time: 0.007, build_memory: 1274228760, f_measure: 0.8615, kappa: 0.7879, kb_relative_information_score: 41.7433, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8659, predictive_accuracy: 0.8621, prior_entropy: 1.5674, recall: 0.8621, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5563, scimark_benchmark: 945.1122,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, build_cpu_time: 0.001, build_memory: 637909760, f_measure: 0.7541, kappa: 0.6347, kb_relative_information_score: 38.4032, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.7667, predictive_accuracy: 0.7586, prior_entropy: 1.5674, recall: 0.7586, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.863, scimark_benchmark: 947.5974,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, build_cpu_time: 0.001, build_memory: 445936824, f_measure: 0.7541, kappa: 0.6347, kb_relative_information_score: 38.4032, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.7667, predictive_accuracy: 0.7586, prior_entropy: 1.5674, recall: 0.7586, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.863, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 779185920, f_measure: 0.2957, kb_relative_information_score: 0.1253, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.007, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 324534312, f_measure: 0.2957, kb_relative_information_score: 0.1253, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.007, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_memory: 579288648, f_measure: 0.9486, kappa: 0.9197, kb_relative_information_score: 53.2578, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9517, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3731, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.101, build_memory: 714822064, f_measure: 0.9481, kappa: 0.9205, kb_relative_information_score: 34.386, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9533, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.6037, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.262, build_memory: 99264560, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 34.459, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6014, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.264, build_memory: 295504944, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 34.459, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6014, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.221, build_memory: 1243754304, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 34.459, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6014, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.392, build_memory: 447190864, f_measure: 0.9659, kappa: 0.9467, kb_relative_information_score: 34.4624, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9696, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.6007, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.787, build_memory: 393981872, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 34.6002, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5974, scimark_benchmark: 945.8947,

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