DEVELOPMENT... OpenML
Run
164121

Run 164121

Task 3587 (Supervised Classification) pwLinear 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
0.9327
Per class
F measure
0.8599
Per class
Kappa
0.7194
KB relative information score
143.1526
Mean absolute error
0.1427
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8604
Per class
Predictive accuracy
0.86
Prior entropy
0.9994
Recall
0.86
Per class
Relative absolute error
0.2857
Root mean prior squared error
0.4998
Root mean squared error
0.352
Root relative squared error
0.7044
SciMark benchmark
936.6206
UserCPU time millis
30
UserCPU time millis training
30