DEVELOPMENT... OpenML
Run
161425

Run 161425

Task 14 (Supervised Classification) mfeat-fourier 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
0.7158
Per class
F measure
0.0662
Per class
Kappa
0.1078
KB relative information score
477.7284
Mean absolute error
0.1654
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0399
Per class
Predictive accuracy
0.197
Prior entropy
3.3219
Recall
0.197
Per class
Relative absolute error
0.9189
Root mean prior squared error
0.3
Root mean squared error
0.2877
Root relative squared error
0.9591
SciMark benchmark
933.8635
UserCPU time millis
60
UserCPU time millis training
60