Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.3357  0.0086  0.0282  0.0281  0.0390  0.02
Anderszewski 2003   9  0.576  0.033  0.225  0.649  0.635  0.63
Ashkenazy 1981   69  0.3588  0.0075  0.0467  0.0476  0.0384  0.03
Bacha 2000   49  0.4551  0.0056  0.0469  0.048  0.5155  0.14
Badura 1965   59  0.4162  0.0039  0.0842  0.1615  0.4542  0.27
Barbosa 1983   12  0.5645  0.0015  0.1317  0.5221  0.4824  0.50
Biret 1990   37  0.4952  0.0038  0.0934  0.3035  0.2839  0.29
Blet 2003   75  0.3363  0.0084  0.0287  0.0270  0.0388  0.02
Block 1995   57  0.4142  0.0053  0.0558  0.0529  0.3157  0.12
Blumental 1952   44  0.4614  0.0147  0.0750  0.0735  0.2856  0.14
Boshniakovich 1969   7  0.5917  0.008  0.128  0.624  0.656  0.63
Brailowsky 1960   64  0.3948  0.0068  0.0372  0.0355  0.0676  0.04
Bunin 1987   27  0.5127  0.0031  0.0625  0.422  0.7017  0.54
Bunin 1987b   29  0.5025  0.0033  0.0727  0.412  0.7116  0.54
Chiu 1999   66  0.3741  0.0070  0.0464  0.0447  0.0674  0.05
Cohen 1997   81  0.2968  0.0078  0.0279  0.0264  0.0485  0.03
Cortot 1951   43  0.4711  0.0129  0.0839  0.232  0.7334  0.41
Csalog 1996   60  0.4039  0.0054  0.0559  0.0539  0.1665  0.09
Czerny 1949   1  0.701  0.511  0.511  0.722  0.791  0.75
Czerny 1990   4  0.6113  0.016  0.117  0.6315  0.684  0.65
Duchoud 2007   71  0.3454  0.0063  0.0946  0.0910  0.5544  0.22
Ezaki 2006   3  0.6136  0.005  0.214  0.645  0.673  0.65
Falvay 1989   31  0.5035  0.0037  0.0930  0.3836  0.3638  0.37
Farrell 1958   15  0.5518  0.0019  0.1418  0.525  0.719  0.61
Ferenczy 1958   65  0.3750  0.0071  0.0466  0.0468  0.0477  0.04
Fliere 1977   13  0.562  0.0912  0.1215  0.5318  0.4722  0.50
Fou 1978   48  0.4577  0.0051  0.0560  0.0544  0.1070  0.07
Francois 1956   62  0.3921  0.0064  0.0848  0.0823  0.3550  0.17
Friedman 1923   82  0.2983  0.0080  0.0377  0.0345  0.0775  0.05
Friedman 1923b   84  0.2772  0.0081  0.0283  0.0275  0.0486  0.03
Friedman 1930   83  0.2755  0.0079  0.0281  0.0280  0.0389  0.02
Garcia 2007   46  0.4665  0.0041  0.1038  0.273  0.6830  0.43
Garcia 2007b   53  0.4534  0.0042  0.0843  0.1615  0.5140  0.29
Gierzod 1998   17  0.5424  0.0021  0.0821  0.4831  0.3436  0.40
Gornostaeva 1994   14  0.5558  0.0018  0.1412  0.562  0.6611  0.61
Groot 1988   58  0.4159  0.0050  0.0657  0.0641  0.1167  0.08
Harasiewicz 1955   5  0.6016  0.019  0.1513  0.5519  0.5715  0.56
Hatto 1993   34  0.5084  0.0035  0.0731  0.3822  0.4433  0.41
Hatto 1997   32  0.5069  0.0032  0.0728  0.4019  0.4532  0.42
Horowitz 1949   86  0.2623  0.0087  0.0280  0.0269  0.0483  0.03
Indjic 1988   30  0.5085  0.0024  0.0923  0.4321  0.4827  0.45
Kapell 1951   2  0.634  0.052  0.212  0.703  0.732  0.71
Kissin 1993   41  0.4846  0.0026  0.0732  0.3723  0.5129  0.43
Kushner 1989   10  0.578  0.034  0.196  0.6311  0.5910  0.61
Luisada 1991   77  0.3386  0.0085  0.0284  0.0280  0.0387  0.02
Lushtak 2004   33  0.5070  0.0030  0.0933  0.3727  0.4137  0.39
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   36  0.4966  0.0045  0.0653  0.0628  0.3653  0.15
Magin 1975   55  0.4480  0.0062  0.0945  0.0951  0.0569  0.07
Michalowski 1933   87  0.2381  0.0083  0.0288  0.0233  0.2072  0.06
Milkina 1970   6  0.5931  0.007  0.1210  0.5815  0.5612  0.57
Mohovich 1999   21  0.5226  0.0017  0.1116  0.5214  0.5420  0.53
Moravec 1969   23  0.5220  0.0023  0.0822  0.458  0.5921  0.52
Morozova 2008   24  0.5230  0.0025  0.0619  0.499  0.5819  0.53
Neighaus 1950   74  0.3349  0.0082  0.0378  0.0351  0.0580  0.04
Niedzielski 1931   63  0.3943  0.0069  0.0468  0.0423  0.3258  0.11
Ohlsson 1999   51  0.4553  0.0057  0.0562  0.0542  0.1564  0.09
Osinska 1989   16  0.555  0.0513  0.149  0.5923  0.5314  0.56
Pachmann 1927   68  0.3673  0.0058  0.0751  0.079  0.5547  0.20
Paderewski 1930   73  0.3389  0.0066  0.0371  0.0315  0.3959  0.11
Perlemuter 1992   80  0.3074  0.0077  0.0285  0.0248  0.0681  0.03
Pierdomenico 2008   61  0.4022  0.0061  0.0749  0.078  0.5746  0.20
Poblocka 1999   40  0.4878  0.0043  0.0841  0.1735  0.2545  0.21
Rabcewiczowa 1932   26  0.5237  0.0027  0.0626  0.426  0.5126  0.46
Rachmaninoff 1923   54  0.443  0.0616  0.1140  0.1925  0.3941  0.27
Rangell 2001   22  0.5233  0.0022  0.0720  0.482  0.6813  0.57
Richter 1976   20  0.5256  0.0020  0.0829  0.3915  0.5925  0.48
Rosen 1989   47  0.4660  0.0052  0.0465  0.0433  0.2861  0.11
Rosenthal 1930   72  0.3475  0.0074  0.0376  0.0345  0.0679  0.04
Rosenthal 1931   79  0.3182  0.0073  0.0375  0.0340  0.1373  0.06
Rosenthal 1931b   85  0.2671  0.0072  0.0370  0.0337  0.2068  0.08
Rosenthal 1931c   67  0.3712  0.0165  0.0563  0.0535  0.2163  0.10
Rosenthal 1931d   70  0.3464  0.0067  0.0373  0.0333  0.2866  0.09
Rossi 2007   56  0.4244  0.0060  0.0656  0.069  0.5049  0.17
Rubinstein 1939   8  0.5810  0.0110  0.1711  0.584  0.677  0.62
Rubinstein 1952   18  0.539  0.0214  0.1314  0.5517  0.5418  0.54
Rubinstein 1966   11  0.5715  0.0111  0.193  0.6519  0.598  0.62
Schilhawsky 1960   25  0.5228  0.0036  0.0835  0.308  0.5831  0.42
Shebanova 2002   52  0.4529  0.0055  0.0561  0.0533  0.2560  0.11
Smith 1975   78  0.3287  0.0076  0.0374  0.0382  0.0382  0.03
Sokolov 2002   50  0.4538  0.0059  0.0654  0.0625  0.4251  0.16
Sztompka 1959   19  0.537  0.0328  0.0636  0.2918  0.5635  0.40
Tomsic 1995   28  0.5140  0.0034  0.0724  0.438  0.5823  0.50
Uninsky 1932   42  0.4819  0.0040  0.0837  0.283  0.7128  0.45
Uninsky 1971   39  0.4861  0.0048  0.0652  0.0627  0.3854  0.15
Wasowski 1980   35  0.4932  0.0046  0.0847  0.0828  0.3748  0.17
Zak 1937   45  0.4690  0.0049  0.0655  0.0625  0.4152  0.16
Zak 1951   38  0.4867  0.0044  0.0844  0.1521  0.4543  0.26
Random 1   90  0.0047  0.0089  0.0189  0.019  0.4571  0.07
Random 2   88  0.0476  0.0090  0.0190  0.0132  0.2078  0.04
Random 3   89  0.0379  0.0088  0.0286  0.022  0.5962  0.11

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).