DEVELOPMENT... OpenML
Run
161960

Run 161960

Task 3599 (Supervised Classification) machine_cpu 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
0.9664
Per class
F measure
0.9292
Per class
Kappa
0.8221
KB relative information score
164.052
Mean absolute error
0.0774
Mean prior absolute error
0.3933
Number of instances
209
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9313
Per class
Predictive accuracy
0.9282
Prior entropy
0.8417
Recall
0.9282
Per class
Relative absolute error
0.1969
Root mean prior squared error
0.4429
Root mean squared error
0.2577
Root relative squared error
0.5818
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10