DEVELOPMENT... OpenML
Run
61035

Run 61035

Task 20 (Supervised Classification) mfeat-pixel Uploaded 16-11-2014 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)_I10
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
0.9972
Per class
Build CPU time
4599.4227
Build memory
2169079615.2
F measure
0.962
Per class
Kappa
0.9578
KB relative information score
1916.9851
Mean absolute error
0.0109
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9625
Per class
Predictive accuracy
0.962
Prior entropy
3.3219
Recall
0.962
Per class
Relative absolute error
0.0604
Root mean prior squared error
0.3
Root mean squared error
0.0761
Root relative squared error
0.2536
SciMark benchmark
942.3742