Machine-Learning-Datos-main
LICENSE
1KB
ArbolDeDecision
C4.5
.ipynb_checkpoints
C4.5-checkpoint.ipynb
30KB
outputs
rules
rules.py
56KB
__pycache__
rules-for-Closed Won-round-5.cpython-38.pyc
6KB
rules-for-Closed Lost-round-5.cpython-38.pyc
6KB
rules-for-Closed Lost-round-3.cpython-38.pyc
6KB
rule_1.cpython-38.pyc
13KB
rules-for-Closed Won-round-3.cpython-38.pyc
6KB
rules-for-Closed Lost-round-0.cpython-38.pyc
6KB
rules-for-Closed Lost-round-1.cpython-38.pyc
6KB
rules-for-Closed Won-round-1.cpython-38.pyc
6KB
rule_3.cpython-38.pyc
12KB
rules-for-Closed Won-round-4.cpython-38.pyc
6KB
rule_4.cpython-38.pyc
12KB
rules-for-Closed Lost-round-4.cpython-38.pyc
6KB
rule_0.cpython-38.pyc
12KB
rules-for-Closed Won-round-6.cpython-38.pyc
6KB
rules-for-Closed Lost-round-2.cpython-38.pyc
6KB
rules-for-Closed Won-round-0.cpython-38.pyc
6KB
rules.cpython-38.pyc
10KB
rules-for-Closed Won-round-2.cpython-38.pyc
6KB
rule_2.cpython-38.pyc
13KB
rules-for-Closed Lost-round-6.cpython-38.pyc
6KB
C4.5.ipynb
27KB
ID3
outputs
rules
tags.iK0b2O
134B
rules.py
34KB
__pycache__
rule_5.cpython-36.pyc
3KB
rule_13.cpython-36.pyc
3KB
rule_2.cpython-36.pyc
3KB
rule_19.cpython-36.pyc
3KB
rules-for-Closed Won-round-1.cpython-36.pyc
8KB
rules-for-Closed Lost-round-6.cpython-36.pyc
7KB
rule_1.cpython-36.pyc
5KB
rules-for-Closed Lost-round-4.cpython-36.pyc
7KB
rules-for-Closed Won-round-4.cpython-36.pyc
7KB
rules-for-Closed Won-round-3.cpython-36.pyc
7KB
rule_16.cpython-36.pyc
3KB
rule_4.cpython-36.pyc
3KB
rules-for-Closed Lost-round-0.cpython-36.pyc
6KB
rules-for-Closed Won-round-2.cpython-36.pyc
8KB
rules.cpython-36.pyc
7KB
rule_6.cpython-36.pyc
3KB
rule_15.cpython-36.pyc
3KB
rules-for-Closed Won-round-7.cpython-36.pyc
14KB
rule_8.cpython-36.pyc
3KB
rules-for-Closed Lost-round-5.cpython-36.pyc
7KB
rules-for-Closed Lost-round-8.cpython-36.pyc
14KB
rule_17.cpython-36.pyc
3KB
rules-for-Closed Lost-round-9.cpython-36.pyc
13KB
rules-for-Closed Lost-round-2.cpython-36.pyc
7KB
rule_7.cpython-36.pyc
3KB
rules-for-Closed Won-round-0.cpython-36.pyc
6KB
rules-for-Closed Won-round-5.cpython-36.pyc
7KB
rules-for-Closed Lost-round-7.cpython-36.pyc
13KB
rules-for-Closed Lost-round-3.cpython-36.pyc
7KB
rules-for-Closed Lost-round-1.cpython-36.pyc
7KB
rule_11.cpython-36.pyc
3KB
rules-for-Closed Won-round-9.cpython-36.pyc
14KB
rules-for-Closed Won-round-6.cpython-36.pyc
7KB
rules-for-Closed Won-round-8.cpython-36.pyc
14KB
rule_14.cpython-36.pyc
3KB
rule_18.cpython-36.pyc
3KB
rule_12.cpython-36.pyc
3KB
rule_9.cpython-36.pyc
3KB
rule_3.cpython-36.pyc
3KB
rule_0.cpython-36.pyc
5KB
rule_10.cpython-36.pyc
3KB
.buildconfig
161B
ID3.ipynb
6KB
Entrenamieto_ECI_2020.csv
7.27MB
RandomForest
.ipynb_checkpoints
OtroaApproach-checkpoint.ipynb
109KB
RandomForest-SeparacionManual-checkpoint.ipynb
72B
RandomForest-checkpoint.ipynb
41KB
.ipynb-checkpoint
30KB
RandomForest-SeparacionManual.ipynb
23KB
.ipynb
30KB
RandomForest.csv
12KB
OtroaApproach.ipynb
175KB
xgboost
Xgboost_de_clasificación_Tp2.ipynb
443KB
README.md
85B
Training.csv
7.27MB
Test
Test.csv
1.08MB
KNN
KNN.ipynb
26KB
KNNMahattanipynb.ipynb
53KB
KNN_Mateo (1).ipynb
53KB
KNN_Mateo.ipynb
20KB
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