DEVELOPMENT... OpenML
Run
165313

Run 165313

Task 3779 (Supervised Classification) fri_c3_100_5 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)_I160
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
0.9172
Per class
F measure
0.8389
Per class
Kappa
0.6721
KB relative information score
67.9207
Mean absolute error
0.1572
Mean prior absolute error
0.4929
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
0.8407
Per class
Predictive accuracy
0.84
Prior entropy
0.99
Recall
0.84
Per class
Relative absolute error
0.3189
Root mean prior squared error
0.4964
Root mean squared error
0.3771
Root relative squared error
0.7597
SciMark benchmark
936.7115
UserCPU time millis
40
UserCPU time millis training
40