Run
474309

Run 474309

Task 3056 (Supervised Classification) SPECT Uploaded 12-09-2015 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
0.8288
Per class
Cross-validation details (33% Holdout set)
F measure
0.8049
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4184
Cross-validation details (33% Holdout set)
KB relative information score
8.2506
Cross-validation details (33% Holdout set)
Mean absolute error
0.2751
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3342
Cross-validation details (33% Holdout set)
Number of instances
88
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.8032
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8068
Cross-validation details (33% Holdout set)
Prior entropy
0.738
Cross-validation details (33% Holdout set)
Recall
0.8068
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8233
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4115
Cross-validation details (33% Holdout set)
Root mean squared error
0.3613
Cross-validation details (33% Holdout set)
Root relative squared error
0.878
Cross-validation details (33% Holdout set)
SciMark benchmark
972.587
UserCPU time millis
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
10
Cross-validation details (33% Holdout set)