Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.6270  0.0044  0.0741  0.1433  0.2750  0.19
Anderszewski 2003   6  0.729  0.028  0.175  0.661  0.715  0.68
Ashkenazy 1981   67  0.5388  0.0070  0.0466  0.0458  0.0586  0.04
Bacha 2000   71  0.5083  0.0073  0.0756  0.0730  0.2261  0.12
Badura 1965   64  0.5471  0.0065  0.0471  0.0438  0.2469  0.10
Barbosa 1983   57  0.5557  0.0040  0.0643  0.1411  0.5739  0.28
Biret 1990   16  0.685  0.057  0.2412  0.602  0.6512  0.62
Blet 2003   66  0.5354  0.0064  0.0467  0.0421  0.3267  0.11
Block 1995   48  0.5858  0.0049  0.0659  0.0610  0.5253  0.18
Blumental 1952   45  0.5824  0.0032  0.0732  0.2621  0.2942  0.27
Boshniakovich 1969   23  0.6631  0.0029  0.1328  0.4321  0.4829  0.45
Brailowsky 1960   60  0.5532  0.0068  0.0475  0.0429  0.3662  0.12
Bunin 1987   85  0.4262  0.0080  0.0384  0.0345  0.0687  0.04
Bunin 1987b   86  0.4237  0.0079  0.0380  0.0352  0.0581  0.04
Chiu 1999   62  0.5452  0.0069  0.0473  0.0443  0.1174  0.07
Cohen 1997   87  0.4074  0.0076  0.0377  0.0330  0.2273  0.08
Cortot 1951   69  0.5143  0.0072  0.0658  0.0615  0.5055  0.17
Csalog 1996   61  0.5463  0.0055  0.0752  0.078  0.5148  0.19
Czerny 1949   15  0.6938  0.0026  0.1626  0.499  0.5824  0.53
Czerny 1990   3  0.744  0.095  0.196  0.655  0.734  0.69
Duchoud 2007   84  0.4275  0.0075  0.0381  0.0351  0.0684  0.04
Ezaki 2006   8  0.7111  0.0115  0.0925  0.504  0.7115  0.60
Falvay 1989   22  0.6723  0.0033  0.0731  0.334  0.6030  0.44
Farrell 1958   33  0.6212  0.019  0.1614  0.582  0.688  0.63
Ferenczy 1958   39  0.6130  0.0058  0.0847  0.088  0.5545  0.21
Fliere 1977   4  0.7413  0.013  0.163  0.732  0.606  0.66
Fou 1978   18  0.6844  0.0025  0.1923  0.505  0.6023  0.55
Francois 1956   52  0.5833  0.0059  0.0945  0.0914  0.5244  0.22
Friedman 1923   63  0.5476  0.0063  0.0563  0.0532  0.3360  0.13
Friedman 1923b   58  0.5577  0.0062  0.0561  0.0530  0.3957  0.14
Friedman 1930   50  0.5859  0.0061  0.0470  0.0427  0.4259  0.13
Garcia 2007   51  0.5827  0.0042  0.0742  0.146  0.5840  0.28
Garcia 2007b   32  0.636  0.0413  0.1019  0.513  0.6122  0.56
Gierzod 1998   1  0.781  0.321  0.321  0.803  0.751  0.77
Gornostaeva 1994   24  0.6618  0.0131  0.0736  0.2311  0.5633  0.36
Groot 1988   55  0.5648  0.0036  0.0634  0.249  0.4735  0.34
Harasiewicz 1955   5  0.7410  0.026  0.204  0.711  0.763  0.73
Hatto 1993   20  0.6734  0.0020  0.1410  0.614  0.5819  0.59
Hatto 1997   14  0.6978  0.0019  0.129  0.634  0.5914  0.61
Horowitz 1949   75  0.4869  0.0077  0.0379  0.0348  0.0880  0.05
Indjic 1988   13  0.6917  0.0117  0.118  0.644  0.5913  0.61
Kapell 1951   26  0.6664  0.0022  0.1021  0.515  0.4927  0.50
Kissin 1993   21  0.6753  0.0027  0.1727  0.4718  0.5526  0.51
Kushner 1989   7  0.713  0.104  0.147  0.642  0.697  0.66
Luisada 1991   35  0.6284  0.0043  0.0639  0.1617  0.4043  0.25
Lushtak 2004   28  0.658  0.0321  0.1024  0.504  0.6621  0.57
Malcuzynski 1961   53  0.5828  0.0050  0.0657  0.0614  0.4654  0.17
Magaloff 1978   40  0.6065  0.0048  0.0749  0.079  0.4652  0.18
Magin 1975   36  0.6279  0.0034  0.0638  0.2128  0.3441  0.27
Michalowski 1933   81  0.4560  0.0081  0.0472  0.0457  0.0583  0.04
Milkina 1970   2  0.752  0.152  0.302  0.761  0.752  0.75
Mohovich 1999   27  0.6514  0.0123  0.1320  0.513  0.6818  0.59
Moravec 1969   65  0.5445  0.0066  0.0382  0.0322  0.3865  0.11
Morozova 2008   47  0.5835  0.0045  0.0846  0.0813  0.4549  0.19
Neighaus 1950   42  0.6042  0.0056  0.0754  0.0728  0.2958  0.14
Niedzielski 1931   72  0.5029  0.0067  0.0378  0.0344  0.0979  0.05
Ohlsson 1999   34  0.6226  0.0030  0.1030  0.3918  0.4631  0.42
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   74  0.4839  0.0087  0.0469  0.0442  0.1572  0.08
Paderewski 1930   80  0.4589  0.0074  0.0564  0.0532  0.2566  0.11
Perlemuter 1992   31  0.6380  0.0039  0.0633  0.252  0.6232  0.39
Pierdomenico 2008   56  0.5561  0.0038  0.0544  0.133  0.6038  0.28
Poblocka 1999   30  0.6325  0.0028  0.1129  0.429  0.5528  0.48
Rabcewiczowa 1932   59  0.5572  0.0054  0.0848  0.0838  0.1763  0.12
Rachmaninoff 1923   44  0.5949  0.0047  0.0560  0.0537  0.1968  0.10
Rangell 2001   70  0.5155  0.0057  0.0750  0.077  0.5451  0.19
Richter 1976   76  0.4866  0.0078  0.0376  0.0350  0.0682  0.04
Rosen 1989   9  0.7046  0.0016  0.1116  0.575  0.6317  0.60
Rosenthal 1930   79  0.4547  0.0086  0.0385  0.0368  0.0388  0.03
Rosenthal 1931   77  0.4521  0.0082  0.0383  0.0332  0.2570  0.09
Rosenthal 1931b   82  0.4485  0.0084  0.0386  0.0338  0.1875  0.07
Rosenthal 1931c   78  0.4567  0.0083  0.0474  0.0441  0.1476  0.07
Rosenthal 1931d   83  0.4386  0.0085  0.0287  0.0237  0.2177  0.06
Rossi 2007   38  0.6115  0.0141  0.0540  0.141  0.6737  0.31
Rubinstein 1939   43  0.5981  0.0051  0.0751  0.076  0.5047  0.19
Rubinstein 1952   54  0.5750  0.0037  0.0635  0.2312  0.5534  0.36
Rubinstein 1966   12  0.697  0.0411  0.1113  0.593  0.6810  0.63
Schilhawsky 1960   41  0.6056  0.0046  0.0562  0.0532  0.3064  0.12
Shebanova 2002   19  0.6716  0.0110  0.1111  0.6111  0.5420  0.57
Smith 1975   29  0.6419  0.0035  0.0737  0.229  0.4736  0.32
Sokolov 2002   73  0.4990  0.0071  0.0565  0.0555  0.0578  0.05
Sztompka 1959   25  0.6636  0.0024  0.1422  0.5120  0.5225  0.51
Tomsic 1995   49  0.5841  0.0052  0.0755  0.077  0.6046  0.20
Uninsky 1932   68  0.5268  0.0060  0.0468  0.0442  0.1971  0.09
Uninsky 1971   46  0.5851  0.0053  0.0753  0.0730  0.3256  0.15
Wasowski 1980   11  0.6922  0.0018  0.1018  0.531  0.6816  0.60
Zak 1937   10  0.7020  0.0012  0.1117  0.572  0.709  0.63
Zak 1951   17  0.6840  0.0014  0.0915  0.574  0.6711  0.62
Random 1   88  -0.0787  0.0088  0.0188  0.0133  0.1685  0.04
Random 2   89  -0.0873  0.0090  0.0190  0.0172  0.0389  0.02
Random 3   90  -0.1182  0.0089  0.0189  0.0150  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).