DEVELOPMENT... OpenML
Run
57894

Run 57894

Task 32 (Supervised Classification) pendigits Uploaded 13-11-2014 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)_I40
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
5730.3315
Build memory
964863045.2933
F measure
0.9904
Per class
Kappa
0.9893
KB relative information score
10858.693
Mean absolute error
0.0036
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
0.9904
Per class
Predictive accuracy
0.9904
Prior entropy
3.3208
Recall
0.9904
Per class
Relative absolute error
0.0202
Root mean prior squared error
0.3
Root mean squared error
0.0393
Root relative squared error
0.131
SciMark benchmark
942.0425

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