from mit_d3m import load_dataset
dataset = load_dataset('4550_MiceProtein')
X = dataset.X
y = dataset.y
context = dataset.context
1.0
mlprimitives.preprocessing.ClassEncoder
featuretools.dfs
sklearn.preprocessing.Imputer
sklearn.preprocessing.StandardScaler
xgboost.XGBClassifier
mlprimitives.preprocessing.ClassDecoder
mlprimitives.preprocessing.ClassEncoder#1
featuretools.dfs#1
"max_depth": 2
"encode": true
"remove_low_information": false
sklearn.preprocessing.Imputer#1
"missing_values": NaN
"axis": 0
"copy": true
"strategy": mean
sklearn.preprocessing.StandardScaler#1
"with_mean": true
"with_std": false
xgboost.XGBClassifier#1
"n_jobs": -1
"n_estimators": 622
"max_depth": 3
"learning_rate": 0.264779349195429
"gamma": 0.6480623858537286
"min_child_weight": 5
mlprimitives.preprocessing.ClassDecoder#1
| ColIndex | ColName | ColType | Role |
|---|---|---|---|
| 0 | d3mIndex | integer | index |
| 1 | MouseID | categorical | attribute |
| 2 | DYRK1A_N | real | attribute |
| 3 | ITSN1_N | real | attribute |
| 4 | BDNF_N | real | attribute |
| 5 | NR1_N | real | attribute |
| 6 | NR2A_N | real | attribute |
| 7 | pAKT_N | real | attribute |
| 8 | pBRAF_N | real | attribute |
| 9 | pCAMKII_N | real | attribute |
| 10 | pCREB_N | real | attribute |
| 11 | pELK_N | real | attribute |
| 12 | pERK_N | real | attribute |
| 13 | pJNK_N | real | attribute |
| 14 | PKCA_N | real | attribute |
| 15 | pMEK_N | real | attribute |
| 16 | pNR1_N | real | attribute |
| 17 | pNR2A_N | real | attribute |
| 18 | pNR2B_N | real | attribute |
| 19 | pPKCAB_N | real | attribute |
| 20 | pRSK_N | real | attribute |
| 21 | AKT_N | real | attribute |
| 22 | BRAF_N | real | attribute |
| 23 | CAMKII_N | real | attribute |
| 24 | CREB_N | real | attribute |
| 25 | ELK_N | real | attribute |
| 26 | ERK_N | real | attribute |
| 27 | GSK3B_N | real | attribute |
| 28 | JNK_N | real | attribute |
| 29 | MEK_N | real | attribute |
| 30 | TRKA_N | real | attribute |
| 31 | RSK_N | real | attribute |
| 32 | APP_N | real | attribute |
| 33 | Bcatenin_N | real | attribute |
| 34 | SOD1_N | real | attribute |
| 35 | MTOR_N | real | attribute |
| 36 | P38_N | real | attribute |
| 37 | pMTOR_N | real | attribute |
| 38 | DSCR1_N | real | attribute |
| 39 | AMPKA_N | real | attribute |
| 40 | NR2B_N | real | attribute |
| 41 | pNUMB_N | real | attribute |
| 42 | RAPTOR_N | real | attribute |
| 43 | TIAM1_N | real | attribute |
| 44 | pP70S6_N | real | attribute |
| 45 | NUMB_N | real | attribute |
| 46 | P70S6_N | real | attribute |
| 47 | pGSK3B_N | real | attribute |
| 48 | pPKCG_N | real | attribute |
| 49 | CDK5_N | real | attribute |
| 50 | S6_N | real | attribute |
| 51 | ADARB1_N | real | attribute |
| 52 | AcetylH3K9_N | real | attribute |
| 53 | RRP1_N | real | attribute |
| 54 | BAX_N | real | attribute |
| 55 | ARC_N | real | attribute |
| 56 | ERBB4_N | real | attribute |
| 57 | nNOS_N | real | attribute |
| 58 | Tau_N | real | attribute |
| 59 | GFAP_N | real | attribute |
| 60 | GluR3_N | real | attribute |
| 61 | GluR4_N | real | attribute |
| 62 | IL1B_N | real | attribute |
| 63 | P3525_N | real | attribute |
| 64 | pCASP9_N | real | attribute |
| 65 | PSD95_N | real | attribute |
| 66 | SNCA_N | real | attribute |
| 67 | Ubiquitin_N | real | attribute |
| 68 | pGSK3B_Tyr216_N | real | attribute |
| 69 | SHH_N | real | attribute |
| 70 | BAD_N | real | attribute |
| 71 | BCL2_N | real | attribute |
| 72 | pS6_N | real | attribute |
| 73 | pCFOS_N | real | attribute |
| 74 | SYP_N | real | attribute |
| 75 | H3AcK18_N | real | attribute |
| 76 | EGR1_N | real | attribute |
| 77 | H3MeK4_N | real | attribute |
| 78 | CaNA_N | real | attribute |
| 79 | Genotype | categorical | attribute |
| 80 | Treatment | categorical | attribute |
| 81 | Behavior | categorical | attribute |
| 82 | class | categorical | suggestedTarget |