DEVELOPMENT... OpenML
Run
165207

Run 165207

Task 3672 (Supervised Classification) kin8nm 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
0.8215
Per class
F measure
0.7345
Per class
Kappa
0.4711
KB relative information score
3763.401
Mean absolute error
0.272
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7388
Per class
Predictive accuracy
0.7351
Prior entropy
0.9998
Recall
0.7351
Per class
Relative absolute error
0.5442
Root mean prior squared error
0.4999
Root mean squared error
0.4638
Root relative squared error
0.9278
SciMark benchmark
936.6206
UserCPU time millis
5520
UserCPU time millis testing
50
UserCPU time millis training
5470