DEVELOPMENT... OpenML
Run
46645

Run 46645

Task 32 (Supervised Classification) pendigits Uploaded 03-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I160
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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.

21 Evaluation measures

Area under ROC curve
0.9996
Per class
Build CPU time
22221.499
Build memory
131319050.7955
F measure
0.991
Per class
Kappa
0.99
KB relative information score
10861.6739
Mean absolute error
0.0037
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
0.991
Per class
Predictive accuracy
0.991
Prior entropy
3.3208
Recall
0.991
Per class
Relative absolute error
0.0203
Root mean prior squared error
0.3
Root mean squared error
0.0383
Root relative squared error
0.1276
SciMark benchmark
944.177