DEVELOPMENT... OpenML
Run
164778

Run 164778

Task 3020 (Supervised Classification) covertype Uploaded 17-02-2015 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)_I80
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
0.7976
Per class
F measure
0.7264
Per class
Kappa
0.4572
KB relative information score
255418.9358
Mean absolute error
0.2827
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
0.735
Per class
Predictive accuracy
0.7277
Prior entropy
0.9996
Recall
0.7277
Per class
Relative absolute error
0.5658
Root mean prior squared error
0.4998
Root mean squared error
0.4901
Root relative squared error
0.9805
SciMark benchmark
911.0478
UserCPU time millis
2328760
UserCPU time millis testing
3950
UserCPU time millis training
2324810