DEVELOPMENT... OpenML
Run
165535

Run 165535

Task 3947 (Supervised Classification) KDDCup99 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)_I160
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
0.993
Per class
F measure
0.97
Per class
Kappa
0.9635
KB relative information score
90950.4995
Mean absolute error
0.0476
Mean prior absolute error
0.0514
Number of instances
494020
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.962
Per class
Predictive accuracy
0.9786
Prior entropy
1.5581
Recall
0.9786
Per class
Relative absolute error
0.927
Root mean prior squared error
0.1603
Root mean squared error
0.1225
Root relative squared error
0.7642
SciMark benchmark
911.0478
UserCPU time millis
84920
UserCPU time millis testing
1890
UserCPU time millis training
83030