DEVELOPMENT... OpenML
Run
163722

Run 163722

Task 3917 (Supervised Classification) kc1 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
0.7939
Per class
F measure
0.7769
Per class
Kappa
0.0103
KB relative information score
581.3208
Mean absolute error
0.1553
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.87
Per class
Predictive accuracy
0.8464
Prior entropy
0.622
Recall
0.8464
Per class
Relative absolute error
0.5935
Root mean prior squared error
0.3615
Root mean squared error
0.3727
Root relative squared error
1.0309
SciMark benchmark
936.6206
UserCPU time millis
370
UserCPU time millis training
370