Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.3252  0.0058  0.0655  0.0640  0.2261  0.11
Anderszewski 2003   85  0.0963  0.0086  0.0381  0.0359  0.0483  0.03
Ashkenazy 1981   1  0.641  0.241  0.241  0.845  0.851  0.84
Bacha 2000   58  0.3253  0.0047  0.0848  0.0823  0.4147  0.18
Badura 1965   49  0.3877  0.0045  0.0846  0.089  0.5845  0.22
Barbosa 1983   53  0.3533  0.0052  0.0751  0.0736  0.2160  0.12
Biret 1990   64  0.3029  0.0068  0.0469  0.0430  0.4557  0.13
Blet 2003   27  0.4562  0.0034  0.0834  0.2917  0.5731  0.41
Block 1995   31  0.4354  0.0033  0.0632  0.3325  0.4635  0.39
Blumental 1952   50  0.3738  0.0043  0.0744  0.1422  0.4944  0.26
Boshniakovich 1969   56  0.3364  0.0056  0.0652  0.0655  0.0671  0.06
Brailowsky 1960   74  0.2147  0.0076  0.0477  0.0453  0.0673  0.05
Bunin 1987   47  0.3948  0.0039  0.0940  0.2019  0.5040  0.32
Bunin 1987b   46  0.3981  0.0038  0.0739  0.2118  0.5138  0.33
Chiu 1999   15  0.5057  0.0017  0.1013  0.5618  0.6214  0.59
Cohen 1997   79  0.1984  0.0085  0.0383  0.0378  0.0290  0.02
Cortot 1951   65  0.2969  0.0069  0.0470  0.0441  0.1567  0.08
Csalog 1996   52  0.3641  0.0055  0.0560  0.0522  0.4252  0.14
Czerny 1949   78  0.1955  0.0075  0.0478  0.0441  0.1865  0.08
Czerny 1990   18  0.4915  0.0119  0.1117  0.4917  0.7313  0.60
Duchoud 2007   41  0.4020  0.0046  0.0945  0.0926  0.4046  0.19
Ezaki 2006   72  0.2232  0.0067  0.0568  0.0554  0.0672  0.05
Falvay 1989   51  0.3685  0.0054  0.0654  0.0630  0.2659  0.12
Farrell 1958   61  0.3178  0.0065  0.0471  0.0423  0.4154  0.13
Ferenczy 1958   86  0.0865  0.0087  0.0287  0.0257  0.0684  0.03
Fliere 1977   4  0.5612  0.0110  0.266  0.7313  0.756  0.74
Fou 1978   26  0.4549  0.0035  0.0835  0.2913  0.5136  0.38
Francois 1956   80  0.1886  0.0081  0.0384  0.0359  0.0487  0.03
Friedman 1923   9  0.5416  0.018  0.227  0.738  0.768  0.74
Friedman 1923b   7  0.559  0.016  0.232  0.748  0.784  0.76
Friedman 1930   10  0.534  0.124  0.189  0.696  0.769  0.72
Garcia 2007   25  0.456  0.0428  0.0923  0.4411  0.6122  0.52
Garcia 2007b   40  0.4024  0.0042  0.0742  0.1813  0.6139  0.33
Gierzod 1998   81  0.1773  0.0064  0.0473  0.0444  0.1168  0.07
Gornostaeva 1994   76  0.2087  0.0073  0.0475  0.0456  0.0580  0.04
Groot 1988   22  0.4825  0.0027  0.1024  0.4222  0.4132  0.41
Harasiewicz 1955   24  0.4651  0.0022  0.0920  0.4515  0.4927  0.47
Hatto 1993   14  0.5014  0.0115  0.1015  0.5314  0.5520  0.54
Hatto 1997   45  0.3940  0.0050  0.0750  0.0730  0.2456  0.13
Horowitz 1949   23  0.4745  0.0030  0.1226  0.407  0.7319  0.54
Indjic 1988   12  0.5223  0.0016  0.1514  0.5417  0.5817  0.56
Kapell 1951   21  0.4835  0.0029  0.1027  0.4012  0.4928  0.44
Kissin 1993   11  0.5311  0.0111  0.2210  0.649  0.7611  0.70
Kushner 1989   33  0.4318  0.0041  0.0738  0.2223  0.4541  0.31
Luisada 1991   13  0.507  0.0321  0.0930  0.3522  0.5329  0.43
Lushtak 2004   69  0.2561  0.0074  0.0474  0.0447  0.0675  0.05
Malcuzynski 1961   19  0.4827  0.0012  0.1412  0.603  0.7112  0.65
Magaloff 1978   43  0.4034  0.0025  0.0933  0.3221  0.4734  0.39
Magin 1975   36  0.4128  0.0018  0.1029  0.3815  0.6923  0.51
Michalowski 1933   28  0.4574  0.0031  0.1028  0.399  0.5925  0.48
Milkina 1970   67  0.2750  0.0062  0.0566  0.0532  0.3455  0.13
Mohovich 1999   71  0.2379  0.0077  0.0472  0.0465  0.0479  0.04
Moravec 1969   39  0.4113  0.0132  0.0731  0.3311  0.5330  0.42
Morozova 2008   32  0.4336  0.0026  0.1019  0.4610  0.5424  0.50
Neighaus 1950   44  0.4042  0.0049  0.0559  0.0544  0.1169  0.07
Niedzielski 1931   20  0.4817  0.0024  0.0922  0.4411  0.6221  0.52
Ohlsson 1999   30  0.4437  0.0013  0.1525  0.4116  0.5426  0.47
Osinska 1989   60  0.3156  0.0057  0.0561  0.0534  0.3158  0.12
Pachmann 1927   16  0.4946  0.0014  0.1416  0.5115  0.6815  0.59
Paderewski 1930   42  0.4082  0.0044  0.0843  0.1521  0.5542  0.29
Perlemuter 1992   35  0.4226  0.0036  0.0936  0.2617  0.6133  0.40
Pierdomenico 2008   17  0.4919  0.0020  0.0921  0.453  0.7016  0.56
Poblocka 1999   38  0.4158  0.0037  0.0737  0.2612  0.4737  0.35
Rabcewiczowa 1932   75  0.2059  0.0079  0.0379  0.0362  0.0578  0.04
Rachmaninoff 1923   8  0.552  0.183  0.1911  0.635  0.7710  0.70
Rangell 2001   55  0.3443  0.0063  0.0564  0.0538  0.1963  0.10
Richter 1976   5  0.5622  0.009  0.205  0.7313  0.793  0.76
Rosen 1989   34  0.4331  0.0040  0.0641  0.1831  0.4043  0.27
Rosenthal 1930   63  0.3071  0.0070  0.0565  0.0543  0.1366  0.08
Rosenthal 1931   84  0.1066  0.0084  0.0285  0.0255  0.0582  0.03
Rosenthal 1931b   82  0.1383  0.0082  0.0382  0.0357  0.0486  0.03
Rosenthal 1931c   77  0.2080  0.0078  0.0563  0.0553  0.0576  0.05
Rosenthal 1931d   83  0.1188  0.0083  0.0286  0.0259  0.0485  0.03
Rossi 2007   87  0.0770  0.0072  0.0476  0.0418  0.4253  0.13
Rubinstein 1939   68  0.2672  0.0061  0.0567  0.0532  0.1962  0.10
Rubinstein 1952   70  0.2489  0.0071  0.0562  0.0571  0.0481  0.04
Rubinstein 1966   62  0.3039  0.0066  0.0657  0.0655  0.0574  0.05
Schilhawsky 1960   66  0.2767  0.0051  0.0653  0.0623  0.4250  0.16
Shebanova 2002   2  0.613  0.182  0.298  0.728  0.767  0.74
Smith 1975   73  0.2160  0.0080  0.0380  0.0358  0.0577  0.04
Sokolov 2002   54  0.3430  0.0059  0.0656  0.0631  0.3251  0.14
Sztompka 1959   6  0.565  0.047  0.193  0.745  0.775  0.75
Tomsic 1995   59  0.3190  0.0048  0.0558  0.0537  0.1464  0.08
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   29  0.4421  0.0023  0.0918  0.483  0.6218  0.55
Wasowski 1980   3  0.5810  0.015  0.214  0.731  0.792  0.76
Zak 1937   37  0.4144  0.0053  0.0749  0.0729  0.3648  0.16
Zak 1951   48  0.3875  0.0060  0.0847  0.0829  0.3349  0.16
Random 1   88  0.008  0.0288  0.0288  0.0237  0.1670  0.06
Random 2   90  -0.0376  0.0089  0.0189  0.0177  0.0388  0.02
Random 3   89  -0.0368  0.0090  0.0190  0.0164  0.0389  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).