DEVELOPMENT... OpenML
Run
164015

Run 164015

Task 3496 (Supervised Classification) SPECTF 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)_I80
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
0.893
Per class
F measure
0.7967
Per class
Kappa
0.4751
KB relative information score
162.9428
Mean absolute error
0.1957
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
0.7945
Per class
Predictive accuracy
0.8023
Prior entropy
0.8464
Recall
0.8023
Per class
Relative absolute error
0.4933
Root mean prior squared error
0.4451
Root mean squared error
0.4028
Root relative squared error
0.9049
SciMark benchmark
936.6206
UserCPU time millis
230
UserCPU time millis training
230