DEVELOPMENT... OpenML
Run
162635

Run 162635

Task 3555 (Supervised Classification) prnn_synth 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)_I20
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
0.9229
Per class
F measure
0.84
Per class
Kappa
0.68
KB relative information score
172.535
Mean absolute error
0.1553
Mean prior absolute error
0.5
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8401
Per class
Predictive accuracy
0.84
Prior entropy
1
Recall
0.84
Per class
Relative absolute error
0.3106
Root mean prior squared error
0.5
Root mean squared error
0.3675
Root relative squared error
0.735
SciMark benchmark
933.8635
UserCPU time millis
10
UserCPU time millis training
10