OpenML
371692

Run 371692

Task 265 (Supervised Classification) dermatology Uploaded 29-03-2015 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(8)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.Bagging_REPTree(8)_P100
weka.Bagging_REPTree(8)_S1
weka.Bagging_REPTree(8)_num-slots1
weka.Bagging_REPTree(8)_I10
weka.Bagging_REPTree(8)_Wweka.classifiers.trees.REPTree

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
0.9934
Per class
Cross-validation details (33% Holdout set)
F measure
0.9153
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8942
Cross-validation details (33% Holdout set)
KB relative information score
104.6063
Cross-validation details (33% Holdout set)
Mean absolute error
0.0408
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.9218
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9167
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.9167
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1537
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.1349
Cross-validation details (33% Holdout set)
Root relative squared error
0.3714
Cross-validation details (33% Holdout set)
SciMark benchmark
1313.8988
UserCPU time millis
20
Cross-validation details (33% Holdout set)
UserCPU time millis training
20
Cross-validation details (33% Holdout set)