DEVELOPMENT... OpenML
Run
162260

Run 162260

Task 3898 (Supervised Classification) kc1-top5 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
0.6848
Per class
F measure
0.9215
Per class
Kappa
0.2898
KB relative information score
-8.8944
Mean absolute error
0.0824
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9264
Per class
Predictive accuracy
0.9172
Prior entropy
0.3323
Recall
0.9172
Per class
Relative absolute error
0.7519
Root mean prior squared error
0.2284
Root mean squared error
0.277
Root relative squared error
1.213
SciMark benchmark
938.9865
UserCPU time millis
40
UserCPU time millis training
40