DEVELOPMENT... OpenML
Data
connect-4

connect-4

active ARFF public Visibility: public Uploaded 06-04-2017 by Arnold
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • OpenML-CC18 OpenML100 study_123 study_135 study_14 study_218 study_99 uci study_271 study_240 study_226 study_275
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Author: John Tromp Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Connect-4) - 1995 Please cite: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) Connect-4 This database contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced. Attributes represent board positions on a 6x6 board. The outcome class is the game-theoretical value for the first player (2: win, 1: loss, 0: draw). ### Attribute Information The board is numbered like: 6 . . . . . . . 5 . . . . . . . 4 . . . . . . . 3 . . . . . . . 2 . . . . . . . 1 . . . . . . . a b c d e f g The values represent: 0: Blank 1: Taken by Player 1 2: Taken by Player 2

43 features

class (target)nominal3 unique values
0 missing
d5nominal3 unique values
0 missing
d4nominal3 unique values
0 missing
d6nominal3 unique values
0 missing
e1nominal3 unique values
0 missing
e2nominal3 unique values
0 missing
e3nominal3 unique values
0 missing
e4nominal3 unique values
0 missing
e5nominal3 unique values
0 missing
e6nominal3 unique values
0 missing
f1nominal3 unique values
0 missing
f2nominal3 unique values
0 missing
f3nominal3 unique values
0 missing
f4nominal3 unique values
0 missing
f5nominal3 unique values
0 missing
f6nominal3 unique values
0 missing
g1nominal3 unique values
0 missing
g2nominal3 unique values
0 missing
g3nominal3 unique values
0 missing
g4nominal3 unique values
0 missing
g5nominal3 unique values
0 missing
g6nominal3 unique values
0 missing
b6nominal3 unique values
0 missing
a2nominal3 unique values
0 missing
a3nominal3 unique values
0 missing
a4nominal3 unique values
0 missing
a5nominal3 unique values
0 missing
a6nominal3 unique values
0 missing
b1nominal3 unique values
0 missing
b2nominal3 unique values
0 missing
b3nominal3 unique values
0 missing
b4nominal3 unique values
0 missing
b5nominal3 unique values
0 missing
a1nominal3 unique values
0 missing
c1nominal3 unique values
0 missing
c2nominal3 unique values
0 missing
c3nominal3 unique values
0 missing
c4nominal3 unique values
0 missing
c5nominal3 unique values
0 missing
c6nominal3 unique values
0 missing
d1nominal3 unique values
0 missing
d2nominal3 unique values
0 missing
d3nominal3 unique values
0 missing
Show all 43 features

19 properties

NumberOfInstances
67557
Number of instances (rows) of the dataset.
NumberOfFeatures
43
Number of attributes (columns) of the dataset.
NumberOfClasses
3
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
0
Number of numeric attributes.
NumberOfSymbolicFeatures
43
Number of nominal attributes.
PercentageOfSymbolicFeatures
100
Percentage of nominal attributes.
AutoCorrelation
0.62
Average class difference between consecutive instances.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
6449
Number of instances belonging to the least frequent class.
MinorityClassPercentage
9.55
Percentage of instances belonging to the least frequent class.
MajorityClassSize
44473
Number of instances belonging to the most frequent class.
MajorityClassPercentage
65.83
Percentage of instances belonging to the most frequent class.
Dimensionality
0
Number of attributes divided by the number of instances.
Show all 19 properties

29 tasks

Supervised Classification on connect-4
9763 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
Supervised Classification on connect-4
2 runs - estimation_procedure: 33% Holdout set - target_feature: class
Supervised Classification on connect-4
1 runs - estimation_procedure: 5 times 2-fold Crossvalidation - target_feature: class
Supervised Classification on connect-4
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on connect-4
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: class
Supervised Classification on connect-4
0 runs - estimation_procedure: 20% Holdout (Ordered) - target_feature: class
Supervised Classification on connect-4
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on connect-4
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: class
Learning Curve on connect-4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on connect-4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on connect-4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on connect-4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on connect-4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on connect-4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on connect-4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on connect-4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on connect-4
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - target_feature: class
Clustering on connect-4
0 runs
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Clustering on connect-4
0 runs - estimation_procedure: 50 times Clustering
Define a new task