Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.4863  0.0056  0.0659  0.064  0.5753  0.18
Anderszewski 2003   20  0.595  0.097  0.159  0.618  0.6311  0.62
Ashkenazy 1981   60  0.4539  0.0071  0.0473  0.0422  0.3472  0.12
Bacha 2000   57  0.4744  0.0057  0.0656  0.064  0.5848  0.19
Badura 1965   51  0.4964  0.0048  0.0747  0.074  0.5747  0.20
Barbosa 1983   12  0.6013  0.0111  0.1412  0.596  0.6710  0.63
Biret 1990   24  0.576  0.049  0.1911  0.591  0.699  0.64
Blet 2003   64  0.4379  0.0067  0.0560  0.0513  0.3966  0.14
Block 1995   72  0.3889  0.0072  0.0475  0.0449  0.0680  0.05
Blumental 1952   26  0.5640  0.0032  0.1130  0.3811  0.6527  0.50
Boshniakovich 1969   18  0.5946  0.0014  0.1214  0.573  0.6712  0.62
Brailowsky 1960   52  0.4842  0.0055  0.0655  0.0633  0.3465  0.14
Bunin 1987   44  0.5168  0.0049  0.0649  0.067  0.5754  0.18
Bunin 1987b   45  0.5190  0.0043  0.0643  0.114  0.6242  0.26
Chiu 1999   62  0.4377  0.0062  0.0569  0.0522  0.3369  0.13
Cohen 1997   63  0.4326  0.0059  0.0651  0.061  0.6149  0.19
Cortot 1951   80  0.3380  0.0077  0.0472  0.0427  0.3573  0.12
Csalog 1996   65  0.4218  0.0161  0.0565  0.0543  0.1177  0.07
Czerny 1949   3  0.662  0.123  0.1510  0.605  0.764  0.68
Czerny 1990   5  0.647  0.036  0.174  0.6611  0.715  0.68
Duchoud 2007   78  0.3565  0.0074  0.0564  0.0516  0.5262  0.16
Ezaki 2006   10  0.6115  0.0113  0.1516  0.557  0.6116  0.58
Falvay 1989   33  0.5551  0.0034  0.0931  0.3529  0.4636  0.40
Farrell 1958   47  0.5028  0.0031  0.0932  0.3210  0.6331  0.45
Ferenczy 1958   82  0.3272  0.0086  0.0285  0.0274  0.0389  0.02
Fliere 1977   11  0.6025  0.0021  0.0817  0.525  0.6018  0.56
Fou 1978   14  0.608  0.0322  0.1025  0.427  0.5529  0.48
Francois 1956   50  0.4956  0.0051  0.0654  0.061  0.6350  0.19
Friedman 1923   75  0.3629  0.0069  0.0381  0.0319  0.4774  0.12
Friedman 1923b   73  0.3862  0.0070  0.0477  0.0417  0.4768  0.14
Friedman 1930   69  0.3919  0.0160  0.0658  0.0612  0.4957  0.17
Garcia 2007   71  0.3866  0.0064  0.0476  0.0416  0.4967  0.14
Garcia 2007b   55  0.4743  0.0024  0.0835  0.2710  0.5837  0.40
Gierzod 1998   2  0.664  0.104  0.178  0.629  0.6013  0.61
Gornostaeva 1994   23  0.5730  0.0018  0.0820  0.485  0.6320  0.55
Groot 1988   37  0.5373  0.0038  0.0840  0.236  0.5440  0.35
Harasiewicz 1955   6  0.6410  0.025  0.1413  0.5811  0.6214  0.60
Hatto 1993   21  0.5981  0.0029  0.1723  0.469  0.5924  0.52
Hatto 1997   17  0.5974  0.0028  0.1122  0.478  0.6221  0.54
Horowitz 1949   74  0.3637  0.0076  0.0566  0.0524  0.3670  0.13
Indjic 1988   16  0.5954  0.0027  0.0821  0.478  0.6419  0.55
Kapell 1951   22  0.5741  0.0017  0.0919  0.4814  0.5822  0.53
Kissin 1993   41  0.5135  0.0042  0.0642  0.1327  0.4743  0.25
Kushner 1989   4  0.651  0.301  0.302  0.693  0.713  0.70
Luisada 1991   31  0.5649  0.0039  0.0838  0.242  0.6934  0.41
Lushtak 2004   43  0.5114  0.0125  0.0927  0.4015  0.5330  0.46
Malcuzynski 1961   15  0.5952  0.0016  0.1915  0.5610  0.5817  0.57
Magaloff 1978   34  0.5423  0.0036  0.0737  0.244  0.6438  0.39
Magin 1975   30  0.5621  0.0026  0.1128  0.409  0.6028  0.49
Michalowski 1933   84  0.3169  0.0078  0.0471  0.044  0.6161  0.16
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   13  0.6020  0.0115  0.127  0.631  0.726  0.67
Moravec 1969   38  0.5332  0.0044  0.0644  0.1120  0.4644  0.22
Morozova 2008   8  0.6217  0.0110  0.233  0.671  0.781  0.72
Neighaus 1950   81  0.3385  0.0081  0.0382  0.0355  0.0583  0.04
Niedzielski 1931   86  0.2382  0.0087  0.0379  0.0369  0.0484  0.03
Ohlsson 1999   48  0.5011  0.0223  0.0826  0.415  0.6126  0.50
Osinska 1989   1  0.673  0.102  0.221  0.695  0.712  0.70
Pachmann 1927   76  0.3675  0.0079  0.0562  0.0528  0.3471  0.13
Paderewski 1930   87  0.2386  0.0085  0.0286  0.0249  0.0585  0.03
Perlemuter 1992   61  0.4370  0.0073  0.0561  0.0513  0.4363  0.15
Pierdomenico 2008   66  0.4287  0.0065  0.0567  0.0510  0.5556  0.17
Poblocka 1999   28  0.5631  0.0037  0.0736  0.2623  0.4639  0.35
Rabcewiczowa 1932   58  0.4557  0.0052  0.0845  0.0827  0.3158  0.16
Rachmaninoff 1923   70  0.3947  0.0068  0.0478  0.0443  0.1078  0.06
Rangell 2001   54  0.4788  0.0058  0.0650  0.0615  0.5255  0.18
Richter 1976   46  0.5083  0.0045  0.0652  0.0619  0.5252  0.18
Rosen 1989   35  0.5427  0.0041  0.0841  0.1613  0.5441  0.29
Rosenthal 1930   77  0.3558  0.0080  0.0383  0.0355  0.0582  0.04
Rosenthal 1931   79  0.3459  0.0082  0.0384  0.0359  0.0486  0.03
Rosenthal 1931b   83  0.3248  0.0083  0.0380  0.0367  0.0488  0.03
Rosenthal 1931c   68  0.3978  0.0075  0.0474  0.0454  0.0781  0.05
Rosenthal 1931d   85  0.3060  0.0084  0.0287  0.0261  0.0487  0.03
Rossi 2007   67  0.4116  0.0166  0.0570  0.0513  0.4564  0.15
Rubinstein 1939   25  0.5738  0.0019  0.0924  0.435  0.6423  0.52
Rubinstein 1952   9  0.6212  0.0112  0.156  0.646  0.678  0.65
Rubinstein 1966   7  0.639  0.028  0.195  0.657  0.687  0.66
Schilhawsky 1960   29  0.5636  0.0035  0.0834  0.292  0.6833  0.44
Shebanova 2002   56  0.4767  0.0063  0.0568  0.0540  0.1675  0.09
Smith 1975   42  0.5150  0.0050  0.0846  0.0811  0.5445  0.21
Sokolov 2002   36  0.5324  0.0040  0.0939  0.242  0.6935  0.41
Sztompka 1959   32  0.5534  0.0033  0.1033  0.3213  0.6232  0.45
Tomsic 1995   40  0.5155  0.0047  0.0653  0.0611  0.5551  0.18
Uninsky 1932   59  0.4576  0.0053  0.0748  0.078  0.6546  0.21
Uninsky 1971   19  0.5933  0.0020  0.0918  0.504  0.7015  0.59
Wasowski 1980   27  0.5622  0.0030  0.1429  0.392  0.6525  0.50
Zak 1937   49  0.5061  0.0054  0.0657  0.0621  0.4259  0.16
Zak 1951   39  0.5245  0.0046  0.0563  0.0518  0.5260  0.16
Random 1   89  0.0071  0.0088  0.0189  0.0117  0.3779  0.06
Random 2   88  0.0753  0.0089  0.0288  0.0217  0.3576  0.08
Random 3   90  -0.0884  0.0090  0.0190  0.0152  0.0490  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).