DEVELOPMENT... OpenML
Run
166236

Run 166236

Task 3882 (Supervised Classification) pendigits Uploaded 18-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I160
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.9807
Per class
F measure
0.9731
Per class
Kappa
0.8612
KB relative information score
8216.6157
Mean absolute error
0.0458
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
0.9754
Per class
Predictive accuracy
0.9722
Prior entropy
0.482
Recall
0.9722
Per class
Relative absolute error
0.2457
Root mean prior squared error
0.3054
Root mean squared error
0.1641
Root relative squared error
0.5375
SciMark benchmark
934.5243
UserCPU time millis
1410
UserCPU time millis testing
310
UserCPU time millis training
1100