DEVELOPMENT... OpenML
Run
162253

Run 162253

Task 3889 (Supervised Classification) sylva_agnostic 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
0.9847
Per class
F measure
0.9818
Per class
Kappa
0.8466
KB relative information score
10900.5435
Mean absolute error
0.0204
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9826
Per class
Predictive accuracy
0.9813
Prior entropy
0.3338
Recall
0.9813
Per class
Relative absolute error
0.1765
Root mean prior squared error
0.2403
Root mean squared error
0.1326
Root relative squared error
0.5518
SciMark benchmark
938.9865
UserCPU time millis
7680
UserCPU time millis testing
20
UserCPU time millis training
7660