DEVELOPMENT... OpenML
Run
162196

Run 162196

Task 3833 (Supervised Classification) analcatdata_authorship 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
0.9777
Per class
F measure
0.9347
Per class
Kappa
0.8614
KB relative information score
708.9402
Mean absolute error
0.0729
Mean prior absolute error
0.4698
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.935
Per class
Predictive accuracy
0.9346
Prior entropy
0.9561
Recall
0.9346
Per class
Relative absolute error
0.1552
Root mean prior squared error
0.4846
Root mean squared error
0.2384
Root relative squared error
0.4919
SciMark benchmark
938.4278
UserCPU time millis
110
UserCPU time millis training
110