DEVELOPMENT... OpenML
Run
163519

Run 163519

Task 3715 (Supervised Classification) fri_c0_100_50 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)_I40
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
0.7301
Per class
F measure
0.6499
Per class
Kappa
0.2994
KB relative information score
30.7011
Mean absolute error
0.3477
Mean prior absolute error
0.4998
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6499
Per class
Predictive accuracy
0.65
Prior entropy
0.9997
Recall
0.65
Per class
Relative absolute error
0.6956
Root mean prior squared error
0.4999
Root mean squared error
0.55
Root relative squared error
1.1002
SciMark benchmark
938.2848
UserCPU time millis
80
UserCPU time millis training
80