DEVELOPMENT... OpenML
Run
162497

Run 162497

Task 2072 (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)_I20
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
0.5936
Per class
F measure
0.3238
Per class
Kappa
0.0646
KB relative information score
17900.3231
Mean absolute error
0.1733
Mean prior absolute error
0.1853
Number of instances
110393
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2484
Per class
Predictive accuracy
0.4679
Prior entropy
1.8698
Recall
0.4679
Per class
Relative absolute error
0.9355
Root mean prior squared error
0.3044
Root mean squared error
0.2944
Root relative squared error
0.9673
SciMark benchmark
938.2848
UserCPU time millis
2280
UserCPU time millis testing
90
UserCPU time millis training
2190