Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6829  0.0012  0.1616  0.5812  0.5414  0.56
Anderszewski 2003   51  0.5176  0.0052  0.0656  0.0660  0.0469  0.05
Ashkenazy 1981   55  0.4949  0.0046  0.0749  0.0736  0.2150  0.12
Bacha 2000   80  0.3931  0.0061  0.0564  0.0545  0.1056  0.07
Badura 1965   23  0.5952  0.0018  0.1325  0.479  0.5817  0.52
Barbosa 1983   69  0.4312  0.0158  0.0655  0.0640  0.1553  0.09
Biret 1990   58  0.4834  0.0051  0.0847  0.0874  0.0462  0.06
Blet 2003   37  0.5582  0.0054  0.0751  0.0716  0.3942  0.17
Block 1995   47  0.5235  0.0041  0.0645  0.1334  0.2044  0.16
Blumental 1952   59  0.4850  0.0036  0.0541  0.1738  0.1645  0.16
Boshniakovich 1969   10  0.682  0.059  0.1410  0.6111  0.588  0.59
Brailowsky 1960   74  0.4244  0.0076  0.0572  0.0559  0.0564  0.05
Bunin 1987   43  0.5463  0.0038  0.0843  0.1612  0.4936  0.28
Bunin 1987b   45  0.5371  0.0037  0.0542  0.168  0.5034  0.28
Chiu 1999   67  0.4421  0.0062  0.0570  0.0542  0.1255  0.08
Cohen 1997   88  0.2443  0.0080  0.0387  0.0354  0.0578  0.04
Cortot 1951   38  0.5585  0.0050  0.0748  0.076  0.6340  0.21
Csalog 1996   64  0.4436  0.0068  0.0473  0.0458  0.0576  0.04
Czerny 1949   8  0.6810  0.017  0.137  0.6313  0.577  0.60
Czerny 1990   18  0.615  0.0422  0.1024  0.4833  0.3330  0.40
Duchoud 2007   79  0.4051  0.0070  0.0478  0.0445  0.1157  0.07
Ezaki 2006   36  0.5568  0.0047  0.0654  0.0664  0.0463  0.05
Falvay 1989   82  0.3554  0.0084  0.0482  0.0485  0.0384  0.03
Farrell 1958   78  0.4042  0.0065  0.0480  0.0463  0.0667  0.05
Ferenczy 1958   25  0.5945  0.0035  0.0635  0.268  0.5531  0.38
Fliere 1977   6  0.6922  0.0010  0.1512  0.6115  0.4816  0.54
Fou 1978   42  0.5456  0.0033  0.0634  0.2635  0.2238  0.24
Francois 1956   61  0.4639  0.0069  0.0475  0.0450  0.0583  0.04
Friedman 1923   41  0.5486  0.0031  0.1130  0.349  0.5426  0.43
Friedman 1923b   40  0.5455  0.0030  0.1329  0.4010  0.5722  0.48
Friedman 1930   49  0.5269  0.0045  0.0844  0.1621  0.4835  0.28
Garcia 2007   54  0.4974  0.0059  0.0750  0.0738  0.2548  0.13
Garcia 2007b   30  0.5846  0.0027  0.1326  0.4715  0.5121  0.49
Gierzod 1998   7  0.697  0.028  0.139  0.6220  0.549  0.58
Gornostaeva 1994   56  0.4953  0.0067  0.0569  0.0570  0.0379  0.04
Groot 1988   62  0.4530  0.0060  0.0561  0.0578  0.0480  0.04
Harasiewicz 1955   12  0.6613  0.0114  0.193  0.6811  0.633  0.65
Hatto 1993   31  0.588  0.025  0.1514  0.607  0.5513  0.57
Hatto 1997   24  0.5957  0.006  0.1215  0.598  0.5512  0.57
Horowitz 1949   32  0.5864  0.0043  0.0833  0.297  0.5529  0.40
Indjic 1988   22  0.593  0.044  0.1413  0.608  0.5511  0.57
Kapell 1951   15  0.6540  0.0021  0.1021  0.4921  0.3627  0.42
Kissin 1993   9  0.6820  0.0016  0.205  0.6411  0.624  0.63
Kushner 1989   39  0.5558  0.0053  0.0653  0.0650  0.0660  0.06
Luisada 1991   35  0.5632  0.0044  0.1036  0.2439  0.1741  0.20
Lushtak 2004   60  0.4641  0.0063  0.0652  0.0668  0.0471  0.05
Malcuzynski 1961   44  0.5415  0.0119  0.1140  0.1922  0.3337  0.25
Magaloff 1978   68  0.4328  0.0073  0.0568  0.0558  0.0473  0.04
Magin 1975   19  0.6137  0.0039  0.0538  0.2046  0.0651  0.11
Michalowski 1933   34  0.5733  0.0024  0.1127  0.448  0.5918  0.51
Milkina 1970   20  0.6011  0.0129  0.1228  0.4239  0.2433  0.32
Mohovich 1999   50  0.5119  0.0156  0.0560  0.0548  0.0861  0.06
Moravec 1969   63  0.4526  0.0075  0.0559  0.0543  0.1354  0.08
Morozova 2008   33  0.5772  0.0040  0.0539  0.2037  0.2439  0.22
Neighaus 1950   26  0.5970  0.0025  0.1220  0.5018  0.4920  0.49
Niedzielski 1931   28  0.5862  0.0034  0.0632  0.2915  0.4632  0.37
Ohlsson 1999   46  0.5325  0.0023  0.1022  0.4921  0.4523  0.47
Osinska 1989   27  0.5865  0.0032  0.0631  0.3254  0.0746  0.15
Pachmann 1927   77  0.4084  0.0082  0.0483  0.0476  0.0386  0.03
Paderewski 1930   71  0.4266  0.0064  0.0479  0.0431  0.2752  0.10
Perlemuter 1992   48  0.5261  0.0049  0.0658  0.0626  0.3247  0.14
Pierdomenico 2008   81  0.3690  0.0081  0.0481  0.0470  0.0475  0.04
Poblocka 1999   2  0.7318  0.0113  0.2311  0.6112  0.5410  0.57
Rabcewiczowa 1932   52  0.5060  0.0057  0.0562  0.0551  0.0566  0.05
Rachmaninoff 1923   57  0.4947  0.0055  0.0846  0.0854  0.0559  0.06
Rangell 2001   76  0.4179  0.0077  0.0565  0.0548  0.0672  0.05
Richter 1976   5  0.706  0.0215  0.204  0.643  0.682  0.66
Rosen 1989   29  0.5859  0.0042  0.0737  0.2143  0.1343  0.17
Rosenthal 1930   70  0.4275  0.0079  0.0476  0.0455  0.0477  0.04
Rosenthal 1931   85  0.2938  0.0086  0.0388  0.0378  0.0387  0.03
Rosenthal 1931b   86  0.2891  0.0087  0.0484  0.0485  0.0290  0.03
Rosenthal 1931c   83  0.3480  0.0085  0.0563  0.0576  0.0381  0.04
Rosenthal 1931d   87  0.2687  0.0088  0.0386  0.0381  0.0389  0.03
Rossi 2007   84  0.3177  0.0083  0.0571  0.0559  0.0565  0.05
Rubinstein 1939   66  0.4424  0.0072  0.0477  0.0485  0.0385  0.03
Rubinstein 1952   75  0.4127  0.0074  0.0566  0.0566  0.0482  0.04
Rubinstein 1966   72  0.4288  0.0071  0.0657  0.0664  0.0570  0.05
Schilhawsky 1960   4  0.719  0.013  0.258  0.6211  0.596  0.60
Shebanova 2002   14  0.6548  0.0017  0.1917  0.5620  0.4519  0.50
Smith 1975   53  0.5014  0.0166  0.0474  0.0452  0.0574  0.04
Sokolov 2002   65  0.4423  0.0048  0.0567  0.0529  0.2749  0.12
Sztompka 1959   13  0.6616  0.0111  0.136  0.6314  0.575  0.60
Tomsic 1995   73  0.4289  0.0078  0.0485  0.0455  0.0768  0.05
Uninsky 1932   1  0.811  0.611  0.611  0.831  0.851  0.84
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   16  0.6217  0.0120  0.1018  0.538  0.5615  0.54
Zak 1937   17  0.6178  0.0026  0.1419  0.5123  0.4225  0.46
Zak 1951   21  0.6067  0.0028  0.1623  0.4826  0.3628  0.42
Average   3  0.724  0.042  0.272  0.8034  0.2824  0.47
Random 1   89  -0.0481  0.0089  0.0289  0.0223  0.2858  0.07
Random 2   90  -0.0873  0.0091  0.0191  0.0138  0.1288  0.03
Random 3   91  -0.0983  0.0090  0.0190  0.0152  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).