DEVELOPMENT... OpenML
Run
163690

Run 163690

Task 3882 (Supervised Classification) pendigits 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
0.9913
Per class
F measure
0.9636
Per class
Kappa
0.7953
KB relative information score
8301.3247
Mean absolute error
0.0363
Mean prior absolute error
0.1865
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9646
Per class
Predictive accuracy
0.9655
Prior entropy
0.482
Recall
0.9655
Per class
Relative absolute error
0.1947
Root mean prior squared error
0.3054
Root mean squared error
0.1669
Root relative squared error
0.5466
SciMark benchmark
911.3823
UserCPU time millis
1690
UserCPU time millis testing
20
UserCPU time millis training
1670