DEVELOPMENT... OpenML
Run
162067

Run 162067

Task 3705 (Supervised Classification) autoHorse 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)_I10
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
0.9769
Per class
F measure
0.9122
Per class
Kappa
0.8178
KB relative information score
165.9903
Mean absolute error
0.0905
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9122
Per class
Predictive accuracy
0.9122
Prior entropy
0.9742
Recall
0.9122
Per class
Relative absolute error
0.1878
Root mean prior squared error
0.4909
Root mean squared error
0.2664
Root relative squared error
0.5427
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10