DEVELOPMENT... OpenML
Run
162244

Run 162244

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)_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
0.964
Per class
F measure
0.9503
Per class
Kappa
0.7552
KB relative information score
6323.3254
Mean absolute error
0.0663
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
0.9592
Per class
Predictive accuracy
0.9466
Prior entropy
0.482
Recall
0.9466
Per class
Relative absolute error
0.3556
Root mean prior squared error
0.3054
Root mean squared error
0.1974
Root relative squared error
0.6463
SciMark benchmark
938.4285
UserCPU time millis
500
UserCPU time millis testing
10
UserCPU time millis training
490