+ 8

Split to Achieve Gain project

I get a problem on 3,4,5ft case on Split to Achieve Gain project in Machine learning course(Sololearn)! Help me please, here my code S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] SL = len(S) BL=len(B) AL = len(A) one = S.count(1) zero = S.count(0) giniP = one/(one+zero) giniInit = 2*giniP*(1-giniP) one = A.count(1) zero = A.count(0) giniP = one/(one+zero) giniLeft = 2*giniP*(1-giniP) one = B.count(1) zero = B.count(0) giniP = one/(one+zero) giniRight= 2*giniP*(1-giniP) IG= giniInit -(giniLeft*(AL/SL))-(giniRight*(BL/SL)) print(IG)

19th Dec 2020, 7:22 AM
BatOchir Artur
BatOchir Artur - avatar
24 Réponses
- 1
Bat-Ochir Artur , in the task it's mentioned that you should round the result to 5 decimal places. There is no rounding in your code.
19th Dec 2020, 8:00 AM
TheWh¡teCat 🇧🇬
TheWh¡teCat 🇧🇬 - avatar
+ 12
S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] SL = len(S) BL=len(B) AL = len(A) one = S.count(1) zero = S.count(0) giniP = one/(one+zero) giniInit = 2*giniP*(1-giniP) one = A.count(1) zero = A.count(0) giniP = one/(one+zero) giniLeft = 2*giniP*(1-giniP) one = B.count(1) zero = B.count(0) giniP = one/(one+zero) giniRight= 2*giniP*(1-giniP) IG= giniInit -(giniLeft*(AL/SL))-(giniRight*(BL/SL)) print (round(IG,5))
28th Feb 2021, 1:45 PM
Abdullah Abdelhakeem
Abdullah Abdelhakeem - avatar
+ 5
Please expostion
7th Jan 2021, 10:47 PM
Melekte Petros
Melekte Petros - avatar
+ 4
SOLVED S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] def G(data): c = len(data) l=data.count(1) return (2 * l/c * (1-(l/c)))*len(data)/len(S) k = G(S)-G(A)-G(B) print(round(k,5))
4th Feb 2022, 1:56 AM
Avrian Shandy
Avrian Shandy - avatar
+ 4
S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] gini_s = 2*S.count(1)/len(S) * (1-S.count(1)/len(S)) gini_a = 2*A.count(1)/len(A) * (1-A.count(1)/len(A)) gini_b = 2*B.count(1)/len(B) * (1-B.count(1)/len(B)) information_gain = gini_s - gini_a*len(A)/len(S) - gini_b*len(B)/len(S) print(round(information_gain, 5))
21st Mar 2022, 10:22 AM
Behrooz Ostadaghaee
Behrooz Ostadaghaee - avatar
+ 3
i tried similar code case 3 fails rest of the cases are ok.
30th Dec 2020, 10:28 PM
LKScoder
LKScoder - avatar
+ 3
S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] def G(data): c = len(data) l=data.count(1) return (2 * l/c * (1-(l/c)))*len(data)/len(S) k = G(S)-G(A)-G(B) print(round(k,5))
3rd Aug 2021, 12:46 PM
Edgar Abasov
Edgar Abasov - avatar
+ 2
S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] inital_length = len(S) def findGini(dataset): length_of_data = len(dataset) zero = dataset.count(0) one = dataset.count(1) return (2 * (one/length_of_data) * (zero/length_of_data)) * (length_of_data / inital_length) info_gain = findGini(S) - findGini(A) - findGini(B) print(round(info_gain, 5))
15th Nov 2021, 8:06 PM
Naseim Ghribi
Naseim Ghribi - avatar
+ 2
# Made by Lord Priyansh S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] def ginx(s): positive_target = [] for i in s: if i > 0: positive_target.append(i) return (2*(len(positive_target)/len(s))*(1-(len(positive_target)/len(s))))*len(s)/len(S) k = ginx(S)-ginx(A)-ginx(B) print(round(k, 5))
18th Nov 2021, 4:52 PM
Priyanshu Sahu
Priyanshu Sahu - avatar
+ 2
Use this code to get all cases right; SOLUTION import numpy as np S = np.array([int(x) for x in input().split()]) A = np.array([int(x) for x in input().split()]) B = np.array([int(x) for x in input().split()]) mean_S = S.mean() mean_A = A.mean() mean_B = B.mean() g1 = 2 * mean_S * (1-mean_S) g2 = 2 * mean_A * (1-mean_A) g3 = 2 * mean_B * (1-mean_B) H_S = len(S) H_A = len(A) H_B = len(B) infog = g1 - (H_A/H_S) * g2 - (H_B/H_S) * g3 print(round(infog , 5))
1st Nov 2022, 10:03 PM
Adanya William Eyram Kofi
+ 1
print (round(infogain,5)) is what i used for printing
30th Dec 2020, 10:30 PM
LKScoder
LKScoder - avatar
+ 1
Here is my solution, using a single function to calculate the Gini values: def gini(x): return 2*(x.count(1)/len(x))*(x.count(0)/len(x)) ig = gini(S) - (len(A)/len(S))*gini(A) - (len(B)/len(S))*gini(B) print(round(ig,5))
27th Oct 2021, 10:00 AM
Peet Swart
Peet Swart - avatar
+ 1
import numpy as np S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] p_S = np.sum(S) / len(S) p_A = np.sum(A) / len(A) p_B = np.sum(B) / len(B) gini_S = 2*(p_S)*(1-p_S) gini_A = 2*(p_A)*(1-p_A) gini_B = 2*(p_B)*(1-p_B) gain = gini_S - (gini_A * len(A)/len(S)) - (gini_B * len(B)/len(S)) print(round(gain, 5))
8th Nov 2021, 5:37 AM
Aurellia Vania Yosephine Budiman
Aurellia Vania Yosephine Budiman - avatar
0
Oh my god! You are my hero!!! All cases passed! thank you!
19th Dec 2020, 8:02 AM
BatOchir Artur
BatOchir Artur - avatar
0
TheWh¡teCat 🇧🇬 don't be lazy.
27th Feb 2021, 8:44 PM
Mukhammad Sadriddinov
Mukhammad Sadriddinov - avatar
0
def getGini(s): a = 0 for i in s: if s[i]==1: a=a+1 return 2*((a/len(s))*((len(s)-a)/len(s))) #print(getGini(S)) print(round(getGini(S) - (len(A)/len(S))*getGini(A) - (len(B)/len(S))*(getGini(B)),5)) two hidden cases failing... please help
18th Jul 2021, 6:03 PM
SURAJ SONI
SURAJ SONI - avatar
0
S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] s_start_1 = S.count(1) s_start_0 = S.count(0) a_pv_1 = A.count(1) a_pv_0 = A.count(0) b_nv_1 = B.count(1) b_nv_0 = B.count(0) gini_impurity_start = 2 * (s_start_1/(s_start_1 + s_start_0)) * (1 - (s_start_1/(s_start_1 + s_start_0))) gini_impurity_a = 2 * (a_pv_1 / (a_pv_1 + a_pv_0)) * (1 - (a_pv_1 / (a_pv_1 + a_pv_0))) gini_impurity_b = 2 * (b_nv_1 / (b_nv_1 + b_nv_0)) * (1 - (b_nv_1 / (b_nv_1 + b_nv_0))) information_gain = gini_impurity_start - ((a_pv_1 + a_pv_0) / (s_start_1 + s_start_0)) * gini_impurity_a - ((b_nv_1 + b_nv_0) / (s_start_1 + s_start_0)) * gini_impurity_b print (round(information_gain, 5))
27th Sep 2021, 11:27 AM
Johny Bracker
Johny Bracker - avatar
0
S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] s_zero = S.count(0) s_one = S.count(1) S_final = 2 * (s_one/(s_one + s_zero) * (1 - s_one/(s_one + s_zero))) a_zero = A.count(0) a_one = A.count(1) A_final = 2 * (a_one/(a_one + a_zero) * (1 - a_one/(a_one + a_zero))) b_zero = B.count(0) b_one = B.count(1) B_final = 2 * (b_one/(b_one + b_zero) * (1 - b_one/(b_one + b_zero))) gain = S_final - (A_final * len(A)/len(S)) - (B_final * len(B)/len(S)) print(round(gain, 5))
12th Dec 2021, 10:45 PM
Rodrigo Silva
Rodrigo Silva - avatar
0
S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] surv = S.count(1)/len(S) Sgini = 2 * surv * (1-surv) surv = A.count(1)/len(A) Agini = 2 * surv * (1-surv) surv = B.count(1)/len(B) Bgini = 2 * surv * (1-surv) info_gain = Sgini - (len(A)/len(S)) * Agini - (len(B)/len(S)) * Bgini print(round(info_gain, 5))
24th Feb 2022, 9:40 AM
Ilya Selivanov
Ilya Selivanov - avatar
0
S = [int(x) for x in input().split()] A = [int(x) for x in input().split()] B = [int(x) for x in input().split()] def gini(a): h=2*sum(a)/len(a)*(1-sum(a)/len(a)) return h infogain=gini(S)-(len(A)/len(S))*gini(A)-(len(B)/len(S))*gini(B) print(round(infogain,5)) WORKS!
9th Mar 2022, 7:33 PM
Alcino Castelo