GitHub - Kleptine/MachineLearningFinal: A machine learning system using Decision Trees and SVM's which predicts the votes of members of congress at 80% acurracy.

Name		Name	Last commit message	Last commit date
.c9revisions		.c9revisions
.metadata		.metadata
Poster		Poster
back		back
bill_map		bill_map
bill_prediction		bill_prediction
bill_summaries		bill_summaries
data_set		data_set
experiment_results		experiment_results
mcnemar_data		mcnemar_data
models/all_no_summary		models/all_no_summary
preprocess_data		preprocess_data
rep_votes_map		rep_votes_map
rep_votes_test		rep_votes_test
rep_votes_train		rep_votes_train
rep_votes_validation		rep_votes_validation
voting_records		voting_records
bills		bills
config.py		config.py
config.pyc		config.pyc
datagen.py		datagen.py
exp__all_bill_prediction.py		exp__all_bill_prediction.py
exp__all_no_summary.py		exp__all_no_summary.py
exp__all_no_summary_validation.py		exp__all_no_summary_validation.py
exp__all_no_summary_validation2.py		exp__all_no_summary_validation2.py
exp__all_no_summary_validation_withmcnemar.py		exp__all_no_summary_validation_withmcnemar.py
exp__all_with_summary.py		exp__all_with_summary.py
exp__baseline.py		exp__baseline.py
exp__no_summary.py		exp__no_summary.py
exp__summary.py		exp__summary.py
extract_features.py		extract_features.py
extract_features.pyc		extract_features.pyc
gen_feature_data.py		gen_feature_data.py
gen_feature_data.pyc		gen_feature_data.pyc
mcnemar.py		mcnemar.py
pre_process_hashstore		pre_process_hashstore
preprocess.py		preprocess.py
preprocess.pyc		preprocess.pyc
representatives		representatives
svm.py		svm.py
svm.pyc		svm.pyc
vote_bill_map		vote_bill_map
votes		votes

About

A machine learning system using Decision Trees and SVM's which predicts the votes of members of congress at 80% acurracy.

3 stars

3 watching