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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.6687, kappa: 0.0227, kb_relative_information_score: -0.7063, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6473, predictive_accuracy: 0.7086, prior_entropy: 0.7916, recall: 0.7086, relative_absolute_error: 1.3772, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1741,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, kb_relative_information_score: -0.7063, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 1.3772, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1741,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, kb_relative_information_score: -0.7063, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 1.3772, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1741,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6799, kappa: 0.1684, kb_relative_information_score: -0.6164, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7006, predictive_accuracy: 0.6658, prior_entropy: 0.7916, recall: 0.6658, relative_absolute_error: 1.3158, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.1396,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9218, kappa: 0.5187, kb_relative_information_score: 0.3498, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9187, predictive_accuracy: 0.9328, prior_entropy: 0.5401, recall: 0.9328, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9278, kappa: 0.5684, kb_relative_information_score: 0.353, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9239, predictive_accuracy: 0.9351, prior_entropy: 0.5401, recall: 0.9351, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9653, kappa: 0.9435, kb_relative_information_score: 0.9443, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9656, predictive_accuracy: 0.9652, prior_entropy: 1.4798, recall: 0.9652, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9634, kappa: 0.9405, kb_relative_information_score: 0.9408, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9639, predictive_accuracy: 0.9633, prior_entropy: 1.4798, recall: 0.9633, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9465, kappa: 0.9131, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9469, predictive_accuracy: 0.9463, prior_entropy: 1.4798, recall: 0.9463, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9587, kappa: 0.8236, kb_relative_information_score: 0.791, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9598, predictive_accuracy: 0.9604, prior_entropy: 0.5879, recall: 0.9604, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9587, kappa: 0.8236, kb_relative_information_score: 0.791, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9598, predictive_accuracy: 0.9604, prior_entropy: 0.5879, recall: 0.9604, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.9578, kappa: 0.8204, kb_relative_information_score: 0.736, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9585, predictive_accuracy: 0.9594, prior_entropy: 0.5879, recall: 0.9594, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.8215, kappa: 0.1516, kb_relative_information_score: -0.119, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8317, predictive_accuracy: 0.8636, prior_entropy: 0.5879, recall: 0.8636, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9579,
Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9133, kappa: 0.4756, kb_relative_information_score: 0.3145, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9068, predictive_accuracy: 0.9231, prior_entropy: 0.5401, recall: 0.9231, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.9074, kappa: 0.4468, kb_relative_information_score: 0.1758, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9004, predictive_accuracy: 0.9164, prior_entropy: 0.5401, recall: 0.9164, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, kappa: 0.0294, kb_relative_information_score: 0.1978, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, predictive_accuracy: 0.9082, prior_entropy: 0.5401, recall: 0.9082, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.8653, kappa: 0.0382, kb_relative_information_score: 0.1573, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8413, predictive_accuracy: 0.906, prior_entropy: 0.5401, recall: 0.906, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0004,
Automatically created scikit-learn flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.9578, kappa: 0.8204, kb_relative_information_score: 0.736, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9585, predictive_accuracy: 0.9594, prior_entropy: 0.5879, recall: 0.9594, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.5288,
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.8048, kappa: 0.0604, kb_relative_information_score: -0.1161, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8283, predictive_accuracy: 0.8608, prior_entropy: 0.5879, recall: 0.8608, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.964,
Automatically created scikit-learn flow.
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Contains currency trading tasks, for various valuta pairs.
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uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX AUD/NZD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
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43825 instances - 12 features - 2 classes - 0 missing values
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uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX USD/DKK from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1832 instances - 12 features - 2 classes - 0 missing values
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uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/SEK from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
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43825 instances - 12 features - 2 classes - 0 missing values
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uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/HUF from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
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375840 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/CHF from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1833 instances - 12 features - 2 classes - 0 missing values
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uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/SGD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
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43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX USD/CHF from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
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375840 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/CAD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
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43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX USD/DKK from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/JPY from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX AUD/CHF from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX AUD/SGD from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/NZD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX CHF/SGD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX NZD/USD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/NZD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX AUD/JPY from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
1832 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX CHF/JPY from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX CHF/SGD from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX GBP/USD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX AUD/USD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/CHF from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 1 - estimation_procedure : 20% Holdout (Ordered) - target_feature : Class
# Data Description This is the historical price data of the FOREX EUR/DKK from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values