DEVELOPMENT... OpenML
Run
163892

Run 163892

Task 3020 (Supervised Classification) covertype Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I40
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.762
Per class
F measure
0.7257
Per class
Kappa
0.456
KB relative information score
243705.6362
Mean absolute error
0.2958
Mean prior absolute error
0.4997
Number of instances
581012
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7347
Per class
Predictive accuracy
0.727
Prior entropy
0.9996
Recall
0.727
Per class
Relative absolute error
0.5919
Root mean prior squared error
0.4998
Root mean squared error
0.4919
Root relative squared error
0.9841
SciMark benchmark
922.9039
UserCPU time millis
1023240
UserCPU time millis testing
2150
UserCPU time millis training
1021090