Agregando Proyecto Final
This commit is contained in:
16
proyecto-final/outputs/bitacora_experimentos.csv
Normal file
16
proyecto-final/outputs/bitacora_experimentos.csv
Normal file
@@ -0,0 +1,16 @@
|
||||
experimento_id,modelo,hiperparametros,arquitectura,precision_train,recall_train,f1_train,accuracy_train,precision_test,recall_test,f1_test,accuracy_test
|
||||
RF_01,random_forest,"{'n_estimators': 100, 'max_depth': None, 'min_samples_leaf': 1, 'max_features': 'sqrt', 'criterion': 'gini'}",,1.0,1.0,1.0,1.0,0.9349176812697626,0.9308725039707921,0.9327724377144396,0.9203084832904884
|
||||
RF_02,random_forest,"{'n_estimators': 200, 'max_depth': 10, 'min_samples_leaf': 1, 'max_features': 'sqrt', 'criterion': 'gini'}",,0.9731775711190289,0.9686270125964206,0.9707547781581585,0.965191036002939,0.9347906630645412,0.9294541680440085,0.9319017166110111,0.9199412412780023
|
||||
RF_03,random_forest,"{'n_estimators': 200, 'max_depth': 20, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'criterion': 'gini'}",,0.9903948234299282,0.9886133978226317,0.9894877918994095,0.9880602498163116,0.9334076449913921,0.9290154634490754,0.9310578989186767,0.9188395152405435
|
||||
RF_04,random_forest,"{'n_estimators': 500, 'max_depth': None, 'min_samples_leaf': 5, 'max_features': 'log2', 'criterion': 'gini'}",,0.9698886043179353,0.9669393350582488,0.9683599857843987,0.9636296840558413,0.9337158223094045,0.9298809359586047,0.931652433121954,0.9192067572530297
|
||||
RF_05,random_forest,"{'n_estimators': 300, 'max_depth': None, 'min_samples_leaf': 1, 'max_features': 'sqrt', 'criterion': 'entropy'}",,1.0,1.0,1.0,1.0,0.9334557081244913,0.9299161263046146,0.9315722997775326,0.9199412412780023
|
||||
XGB_01,xgboost,"{'n_estimators': 100, 'max_depth': 6, 'learning_rate': 0.3, 'subsample': 1.0, 'colsample_bytree': 1.0, 'reg_lambda': 1}",,0.9999496627403605,0.9999322630901578,0.9999409504488485,0.9999081557678178,0.9381833017622513,0.9345106923717922,0.9362721257358918,0.9232464193903782
|
||||
XGB_02,xgboost,"{'n_estimators': 200, 'max_depth': 6, 'learning_rate': 0.1, 'subsample': 0.8, 'colsample_bytree': 0.8, 'reg_lambda': 1}",,0.9995124631182911,0.9993828425668196,0.9994472778499259,0.9991734019103601,0.9400145643891352,0.9355998108933601,0.9377337700729521,0.9258171134777818
|
||||
XGB_03,xgboost,"{'n_estimators': 300, 'max_depth': 4, 'learning_rate': 0.05, 'subsample': 0.8, 'colsample_bytree': 0.8, 'reg_lambda': 2}",,0.9738431057592221,0.9714270969690408,0.972586594741007,0.964731814842028,0.9390495539072736,0.935051375447481,0.9369779245757606,0.9239809034153507
|
||||
XGB_04,xgboost,"{'n_estimators': 200, 'max_depth': 8, 'learning_rate': 0.1, 'subsample': 0.6, 'colsample_bytree': 0.6, 'reg_lambda': 5}",,0.9979483687785702,0.9974251802181292,0.9976852599170984,0.9971528288023512,0.9360823265498792,0.9320238330654388,0.9339747695658638,0.9206757253029747
|
||||
XGB_05,xgboost,"{'n_estimators': 500, 'max_depth': 6, 'learning_rate': 0.01, 'subsample': 0.8, 'colsample_bytree': 0.8, 'reg_lambda': 1}",,0.9711283975656463,0.968488525587758,0.9697589584183979,0.960966201322557,0.9388577890936005,0.9344234986407992,0.9365260895250824,0.9243481454278369
|
||||
NN_01,neural_network,"{'capas': (64,), 'activacion': 'relu', 'dropout': 0.0, 'lr': 0.001, 'batch_size': 32, 'epochs': 50}",[64]→softmax,0.9514075483337615,0.9497502280290414,0.9505399462571212,0.9393828067597355,0.9382200228163496,0.9367635261121906,0.9373738091629885,0.9265515975027543
|
||||
NN_02,neural_network,"{'capas': (128, 64), 'activacion': 'relu', 'dropout': 0.3, 'lr': 0.001, 'batch_size': 64, 'epochs': 100}","[128,64]+Dropout(0.3)→softmax",0.9544504646790793,0.951693687099693,0.95297564727531,0.942505510653931,0.942351208286615,0.9395367498811359,0.9408371424891058,0.9302240176276166
|
||||
NN_03,neural_network,"{'capas': (256, 128, 64), 'activacion': 'relu', 'dropout': 0.3, 'lr': 0.001, 'batch_size': 64, 'epochs': 100}","[256,128,64]+Dropout(0.3)→softmax",0.9596197331839835,0.9560282590407893,0.9576542667718927,0.9473732549595886,0.9403300598776779,0.9375579241769321,0.9387617954675829,0.9283878075651855
|
||||
NN_04,neural_network,"{'capas': (128, 64), 'activacion': 'relu', 'dropout': 0.2, 'lr': 0.0001, 'batch_size': 32, 'epochs': 150}","[128,64]+Dropout(0.2)→softmax(lr=0.0001)",0.9515492560718786,0.9492242953999462,0.950294386638384,0.9401175606171932,0.9396175891521139,0.9377347900370906,0.9386047132899191,0.9280205655526992
|
||||
NN_05,neural_network,"{'capas': (256, 128), 'activacion': 'relu', 'dropout': 0.4, 'lr': 0.001, 'batch_size': 128, 'epochs': 100}","[256,128]+Dropout(0.4)→softmax",0.9554800613552519,0.9537600530164673,0.9545517843251645,0.9441587068332109,0.9395108985072946,0.9372280998211393,0.9382606172667207,0.9272860815277267
|
||||
|
0
proyecto-final/outputs/figures/.gitkeep
Normal file
0
proyecto-final/outputs/figures/.gitkeep
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 62 KiB |
BIN
proyecto-final/outputs/figures/feature_importance__xgboost.png
Normal file
BIN
proyecto-final/outputs/figures/feature_importance__xgboost.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 63 KiB |
Reference in New Issue
Block a user