DEVELOPMENT... OpenML
Run
164581

Run 164581

Task 32 (Supervised Classification) pendigits Uploaded 17-02-2015 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)_I160
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
0.7097
Per class
F measure
0.0722
Per class
Kappa
0.1117
KB relative information score
2439.2433
Mean absolute error
0.1661
Mean prior absolute error
0.18
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
0.0442
Per class
Predictive accuracy
0.2041
Prior entropy
3.3208
Recall
0.2041
Per class
Relative absolute error
0.9229
Root mean prior squared error
0.3
Root mean squared error
0.2882
Root relative squared error
0.9608
SciMark benchmark
922.9039
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60