Run
288566

Run 288566

Task 3874 (Supervised Classification) ecoli Uploaded 14-03-2015 by Joaquin Vanschoren
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Flow

weka.ADTree(4)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_S1

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
0.979
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9495
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8968
Cross-validation details (10-fold Crossvalidation)
KB relative information score
271.837
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1033
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.489
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9497
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9494
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9842
Cross-validation details (10-fold Crossvalidation)
Recall
0.9494
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2113
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4944
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2144
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4337
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1337.5749
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)