DEVELOPMENT... OpenML
Run
162846

Run 162846

Task 3767 (Supervised Classification) fri_c0_1000_50 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
0.881
Per class
F measure
0.7848
Per class
Kappa
0.5695
KB relative information score
555.9316
Mean absolute error
0.2247
Mean prior absolute error
0.4998
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7852
Per class
Predictive accuracy
0.785
Prior entropy
0.9997
Recall
0.785
Per class
Relative absolute error
0.4495
Root mean prior squared error
0.4999
Root mean squared error
0.4004
Root relative squared error
0.8009
SciMark benchmark
922.9039
UserCPU time millis
420
UserCPU time millis training
420