Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.4860  0.0057  0.0660  0.065  0.5754  0.18
Anderszewski 2003   21  0.598  0.018  0.1510  0.619  0.6312  0.62
Ashkenazy 1981   61  0.4546  0.0072  0.0474  0.0423  0.3472  0.12
Bacha 2000   58  0.4743  0.0058  0.0657  0.065  0.5849  0.19
Badura 1965   52  0.4967  0.0049  0.0748  0.075  0.5748  0.20
Barbosa 1983   13  0.6011  0.0112  0.1413  0.597  0.6711  0.63
Biret 1990   25  0.576  0.0110  0.1912  0.592  0.6910  0.64
Blet 2003   65  0.4384  0.0068  0.0561  0.0514  0.3966  0.14
Block 1995   73  0.3890  0.0073  0.0476  0.0450  0.0681  0.05
Blumental 1952   27  0.5638  0.0033  0.1131  0.3812  0.6528  0.50
Boshniakovich 1969   19  0.5945  0.0015  0.1215  0.574  0.6713  0.62
Brailowsky 1960   53  0.4841  0.0056  0.0656  0.0634  0.3465  0.14
Bunin 1987   45  0.5165  0.0050  0.0650  0.068  0.5755  0.18
Bunin 1987b   46  0.5191  0.0044  0.0644  0.115  0.6243  0.26
Chiu 1999   63  0.4376  0.0063  0.0470  0.0423  0.3375  0.11
Cohen 1997   64  0.4325  0.0060  0.0652  0.062  0.6150  0.19
Cortot 1951   81  0.3380  0.0078  0.0473  0.0428  0.3573  0.12
Csalog 1996   66  0.4217  0.0062  0.0566  0.0544  0.1178  0.07
Czerny 1949   4  0.663  0.024  0.1511  0.606  0.765  0.68
Czerny 1990   6  0.6415  0.007  0.175  0.6612  0.716  0.68
Duchoud 2007   79  0.3568  0.0075  0.0565  0.0517  0.5263  0.16
Ezaki 2006   11  0.6112  0.0014  0.1517  0.558  0.6117  0.58
Falvay 1989   34  0.5555  0.0035  0.0932  0.3530  0.4637  0.40
Farrell 1958   48  0.5040  0.0032  0.0933  0.3211  0.6332  0.45
Ferenczy 1958   83  0.3271  0.0087  0.0286  0.0275  0.0390  0.02
Fliere 1977   12  0.6023  0.0022  0.0818  0.526  0.6019  0.56
Fou 1978   15  0.605  0.0123  0.1026  0.428  0.5530  0.48
Francois 1956   51  0.4956  0.0052  0.0655  0.062  0.6351  0.19
Friedman 1923   76  0.3632  0.0070  0.0382  0.0320  0.4774  0.12
Friedman 1923b   74  0.3858  0.0071  0.0478  0.0418  0.4768  0.14
Friedman 1930   70  0.3913  0.0061  0.0659  0.0613  0.4958  0.17
Garcia 2007   72  0.3861  0.0065  0.0477  0.0417  0.4967  0.14
Garcia 2007b   56  0.4749  0.0025  0.0836  0.2711  0.5838  0.40
Gierzod 1998   3  0.662  0.035  0.169  0.6210  0.6014  0.61
Gornostaeva 1994   24  0.5730  0.0019  0.0821  0.486  0.6321  0.55
Groot 1988   38  0.5372  0.0039  0.0841  0.237  0.5441  0.35
Harasiewicz 1955   7  0.6428  0.006  0.1414  0.5812  0.6215  0.60
Hatto 1993   22  0.5981  0.0030  0.1624  0.4610  0.5925  0.52
Hatto 1997   18  0.5977  0.0029  0.1123  0.479  0.6222  0.54
Horowitz 1949   75  0.3636  0.0077  0.0567  0.0525  0.3670  0.13
Indjic 1988   17  0.5950  0.0028  0.0722  0.479  0.6420  0.55
Kapell 1951   23  0.5742  0.0018  0.0820  0.4815  0.5823  0.53
Kissin 1993   42  0.5137  0.0043  0.0643  0.1328  0.4744  0.25
Kushner 1989   5  0.654  0.022  0.303  0.694  0.714  0.70
Luisada 1991   32  0.5651  0.0040  0.0839  0.243  0.6935  0.41
Lushtak 2004   44  0.5110  0.0126  0.0928  0.4016  0.5331  0.46
Malcuzynski 1961   16  0.5947  0.0017  0.1816  0.5611  0.5818  0.57
Magaloff 1978   35  0.5421  0.0037  0.0738  0.245  0.6439  0.39
Magin 1975   31  0.5626  0.0027  0.1129  0.4010  0.6029  0.49
Michalowski 1933   85  0.3166  0.0079  0.0472  0.045  0.6162  0.16
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   14  0.6018  0.0016  0.128  0.632  0.727  0.67
Moravec 1969   39  0.5333  0.0045  0.0645  0.1121  0.4645  0.22
Morozova 2008   9  0.6219  0.0011  0.224  0.672  0.782  0.72
Neighaus 1950   82  0.3385  0.0082  0.0383  0.0356  0.0584  0.04
Niedzielski 1931   87  0.2382  0.0088  0.0380  0.0370  0.0485  0.03
Ohlsson 1999   49  0.5016  0.0024  0.0727  0.416  0.6127  0.50
Osinska 1989   2  0.677  0.013  0.222  0.696  0.713  0.70
Pachmann 1927   77  0.3673  0.0080  0.0563  0.0529  0.3471  0.13
Paderewski 1930   88  0.2386  0.0086  0.0287  0.0250  0.0586  0.03
Perlemuter 1992   62  0.4369  0.0074  0.0562  0.0514  0.4364  0.15
Pierdomenico 2008   67  0.4287  0.0066  0.0568  0.0511  0.5557  0.17
Poblocka 1999   29  0.5631  0.0038  0.0737  0.2624  0.4640  0.35
Rabcewiczowa 1932   59  0.4557  0.0053  0.0846  0.0828  0.3159  0.16
Rachmaninoff 1923   71  0.3962  0.0069  0.0479  0.0444  0.1079  0.06
Rangell 2001   55  0.4788  0.0059  0.0651  0.0616  0.5256  0.18
Richter 1976   47  0.5089  0.0046  0.0653  0.0620  0.5253  0.18
Rosen 1989   36  0.5427  0.0042  0.0842  0.1614  0.5442  0.29
Rosenthal 1930   78  0.3559  0.0081  0.0384  0.0356  0.0583  0.04
Rosenthal 1931   80  0.3470  0.0083  0.0385  0.0360  0.0487  0.03
Rosenthal 1931b   84  0.3252  0.0084  0.0381  0.0368  0.0489  0.03
Rosenthal 1931c   69  0.3978  0.0076  0.0475  0.0455  0.0782  0.05
Rosenthal 1931d   86  0.3063  0.0085  0.0288  0.0262  0.0488  0.03
Rossi 2007   68  0.4114  0.0067  0.0471  0.0414  0.4569  0.13
Rubinstein 1939   26  0.5739  0.0020  0.0825  0.436  0.6424  0.52
Rubinstein 1952   10  0.629  0.0113  0.157  0.647  0.679  0.65
Rubinstein 1966   8  0.6324  0.009  0.196  0.658  0.688  0.66
Schilhawsky 1960   30  0.5635  0.0036  0.0835  0.293  0.6834  0.44
Shebanova 2002   57  0.4764  0.0064  0.0569  0.0541  0.1676  0.09
Smith 1975   43  0.5153  0.0051  0.0847  0.0812  0.5446  0.21
Sokolov 2002   37  0.5322  0.0041  0.0940  0.243  0.6936  0.41
Sztompka 1959   33  0.5534  0.0034  0.0934  0.3214  0.6233  0.45
Tomsic 1995   41  0.5154  0.0048  0.0654  0.0612  0.5552  0.18
Uninsky 1932   60  0.4574  0.0054  0.0749  0.079  0.6547  0.21
Uninsky 1971   20  0.5929  0.0021  0.0919  0.505  0.7016  0.59
Wasowski 1980   28  0.5620  0.0031  0.1330  0.393  0.6526  0.50
Zak 1937   50  0.5075  0.0055  0.0658  0.0622  0.4260  0.16
Zak 1951   40  0.5244  0.0047  0.0564  0.0519  0.5261  0.16
Average   1  0.791  0.781  0.771  0.911  0.811  0.86
Random 1   90  0.0079  0.0089  0.0190  0.0116  0.3980  0.06
Random 2   89  0.0748  0.0090  0.0289  0.0216  0.3777  0.09
Random 3   91  -0.0883  0.0091  0.0191  0.0153  0.0491  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).