DEVELOPMENT... OpenML
Run
163420

Run 163420

Task 3617 (Supervised Classification) fri_c4_1000_10 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
0.9249
Per class
F measure
0.8456
Per class
Kappa
0.6861
KB relative information score
655.3034
Mean absolute error
0.172
Mean prior absolute error
0.4928
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8458
Per class
Predictive accuracy
0.846
Prior entropy
0.9896
Recall
0.846
Per class
Relative absolute error
0.3491
Root mean prior squared error
0.4964
Root mean squared error
0.3484
Root relative squared error
0.7019
SciMark benchmark
942.1229
UserCPU time millis
170
UserCPU time millis training
170