Data
colleges

colleges

active ARFF NA Visibility: public Uploaded 04-10-2019 by Thomas Schmitt
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • Computer Systems Machine Learning
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Regroups information for about 7800 different US colleges. Including geographical information, stats about the population attending and post graduation career earnings.

50 features

percent_pell_grant (target)numeric4502 unique values
0 missing
UNITID (row identifier)numeric7063 unique values
0 missing
school_namestring6961 unique values
0 missing
citystring2461 unique values
0 missing
statenominal59 unique values
0 missing
zipnominal6039 unique values
0 missing
school_webpagestring5710 unique values
56 missing
latitudenumeric6508 unique values
342 missing
longitudenumeric6598 unique values
342 missing
admission_ratenumeric1739 unique values
4847 missing
sat_verbal_midrangenumeric164 unique values
5763 missing
sat_math_midrangenumeric163 unique values
5749 missing
sat_writing_midrangenumeric131 unique values
6270 missing
act_combined_midrangenumeric22 unique values
5722 missing
act_english_midrangenumeric24 unique values
5899 missing
act_math_midrangenumeric24 unique values
5898 missing
act_writing_midrangenumeric8 unique values
6763 missing
sat_total_averagenumeric477 unique values
5644 missing
undergrad_sizenumeric3020 unique values
1 missing
percent_whitenumeric4453 unique values
1 missing
percent_blacknumeric3277 unique values
1 missing
percent_hispanicnumeric2802 unique values
1 missing
percent_asiannumeric1239 unique values
1 missing
percent_part_timenumeric3466 unique values
6 missing
average_cost_academic_yearnumeric3802 unique values
2928 missing
average_cost_program_yearnumeric2349 unique values
4522 missing
tuition_(instate)numeric2981 unique values
2926 missing
tuition_(out_of_state)numeric3039 unique values
2926 missing
spend_per_studentnumeric5294 unique values
11 missing
faculty_salarynumeric3297 unique values
2672 missing
percent_part_time_facultynumeric2332 unique values
3161 missing
completion_ratenumeric1912 unique values
4617 missing
average_age_of_entrynumeric0 unique values
7063 missing
percent_marriednumeric0 unique values
7063 missing
percent_veterannumeric0 unique values
7063 missing
predominant_degreenominal3 unique values
75 missing
highest_degreenominal5 unique values
0 missing
ownershipnominal3 unique values
0 missing
regionnominal10 unique values
0 missing
genderstring3 unique values
0 missing
carnegie_basic_classificationstring33 unique values
2986 missing
carnegie_undergraduatestring13 unique values
3506 missing
carnegie_sizestring17 unique values
3505 missing
religious_affiliationstring55 unique values
6260 missing
percent_femalestring102 unique values
1510 missing
agege24string100 unique values
1510 missing
famincstring4778 unique values
1510 missing
mean_earnings_6_yearsnumeric494 unique values
1451 missing
median_earnings_6_yearsnumeric489 unique values
1451 missing
mean_earnings_10_yearsnumeric607 unique values
1736 missing
median_earnings_10_yearsnumeric568 unique values
1736 missing

62 properties

7063
Number of instances (rows) of the dataset.
50
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
125494
Number of missing values in the dataset.
7063
Number of instances with at least one value missing.
33
Number of numeric attributes.
6
Number of nominal attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0.01
Number of attributes divided by the number of instances.
1019.83
Average number of distinct values among the attributes of the nominal type.
1.45
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
1.65
Mean skewness among attributes of the numeric type.
279.35
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
3345.13
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.91
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.33
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
42.78
Second quartile (Median) of standard deviation of attributes of the numeric type.
358.99
Maximum kurtosis among attributes of the numeric type.
-90.26
Minimum of means among attributes of the numeric type.
100
Percentage of instances having missing values.
Third quartile of entropy among attributes.
36444.77
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
35.54
Percentage of missing values.
6.21
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
3
The minimal number of distinct values among attributes of the nominal type.
66
Percentage of numeric attributes.
14571.28
Third quartile of means among attributes of the numeric type.
6039
The maximum number of distinct values among attributes of the nominal type.
-0.99
Minimum skewness among attributes of the numeric type.
12
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
12.99
Maximum skewness among attributes of the numeric type.
0.07
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.7
Third quartile of skewness among attributes of the numeric type.
13426.4
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.54
First quartile of kurtosis among attributes of the numeric type.
8295.3
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.53
First quartile of means among attributes of the numeric type.
2458.97
Standard deviation of the number of distinct values among attributes of the nominal type.
21.5
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
7182.84
Mean of means among attributes of the numeric type.
0.47
First quartile of skewness among attributes of the numeric type.
0.79
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.28
First quartile of standard deviation of attributes of the numeric type.

9 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_relative_squared_error - target_feature: percent_pell_grant
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task