DEVELOPMENT... OpenML
Run
163292

Run 163292

Task 3496 (Supervised Classification) SPECTF 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
0.8676
Per class
F measure
0.7592
Per class
Kappa
0.3648
KB relative information score
130.8201
Mean absolute error
0.2281
Mean prior absolute error
0.3968
Number of instances
349
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7603
Per class
Predictive accuracy
0.7765
Prior entropy
0.8464
Recall
0.7765
Per class
Relative absolute error
0.5747
Root mean prior squared error
0.4451
Root mean squared error
0.4267
Root relative squared error
0.9586
SciMark benchmark
945.6434
UserCPU time millis
110
UserCPU time millis training
110