Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.3059  0.0078  0.0374  0.0347  0.0568  0.04
Anderszewski 2003   18  0.4411  0.0115  0.1612  0.6341  0.2214  0.37
Ashkenazy 1981   45  0.3352  0.0059  0.0462  0.0469  0.0383  0.03
Bacha 2000   59  0.3061  0.0053  0.0651  0.0638  0.2334  0.12
Badura 1965   65  0.2732  0.0040  0.0641  0.1380  0.0353  0.06
Barbosa 1983   17  0.459  0.0110  0.138  0.6644  0.1418  0.30
Biret 1990   29  0.3929  0.0019  0.0924  0.5044  0.0825  0.20
Blet 2003   73  0.2584  0.0084  0.0459  0.0476  0.0376  0.03
Block 1995   46  0.3312  0.0143  0.0644  0.1169  0.0447  0.07
Blumental 1952   43  0.3439  0.0054  0.0846  0.0868  0.0554  0.06
Boshniakovich 1969   26  0.4030  0.0011  0.1115  0.6141  0.1319  0.28
Brailowsky 1960   31  0.3753  0.0038  0.0838  0.2249  0.0736  0.12
Bunin 1987   52  0.3133  0.0068  0.0553  0.0568  0.0469  0.04
Bunin 1987b   62  0.2881  0.0069  0.0554  0.0568  0.0465  0.04
Chiu 1999   81  0.2278  0.0079  0.0381  0.0384  0.0288  0.02
Cohen 1997   49  0.3268  0.0057  0.0371  0.0368  0.0484  0.03
Cortot 1951   53  0.3144  0.0065  0.0373  0.0334  0.3040  0.09
Csalog 1996   54  0.3136  0.0048  0.0649  0.0666  0.0459  0.05
Czerny 1949   11  0.466  0.0112  0.1114  0.6235  0.416  0.50
Czerny 1990   13  0.4624  0.0014  0.146  0.6745  0.1417  0.31
Duchoud 2007   87  0.1342  0.0086  0.0288  0.0270  0.0479  0.03
Ezaki 2006   20  0.4469  0.0024  0.1422  0.5247  0.0726  0.19
Falvay 1989   30  0.3975  0.0037  0.0832  0.2982  0.0437  0.11
Farrell 1958   64  0.2754  0.0050  0.0458  0.0469  0.0464  0.04
Ferenczy 1958   50  0.3237  0.0063  0.0465  0.0455  0.0660  0.05
Fliere 1977   19  0.4448  0.0021  0.1119  0.5770  0.0528  0.17
Fou 1978   9  0.4615  0.016  0.1110  0.6525  0.347  0.47
Francois 1956   68  0.2645  0.0064  0.0470  0.0470  0.0471  0.04
Friedman 1923   86  0.1585  0.0087  0.0284  0.0284  0.0391  0.02
Friedman 1923b   85  0.1682  0.0085  0.0286  0.0286  0.0390  0.02
Friedman 1930   88  0.1086  0.0088  0.0289  0.0268  0.0477  0.03
Garcia 2007   84  0.1783  0.0081  0.0378  0.0375  0.0480  0.03
Garcia 2007b   72  0.2570  0.0056  0.0468  0.0473  0.0472  0.04
Gierzod 1998   12  0.464  0.034  0.1616  0.6138  0.2711  0.41
Gornostaeva 1994   36  0.3635  0.0046  0.0650  0.0669  0.0462  0.05
Groot 1988   51  0.3163  0.0062  0.0460  0.0484  0.0385  0.03
Harasiewicz 1955   3  0.511  0.341  0.332  0.7523  0.542  0.64
Hatto 1993   67  0.2787  0.0032  0.0735  0.2377  0.0342  0.08
Hatto 1997   66  0.2788  0.0033  0.1136  0.2373  0.0438  0.10
Horowitz 1949   60  0.3055  0.0075  0.0464  0.0460  0.0566  0.04
Indjic 1988   69  0.2689  0.0036  0.0739  0.1683  0.0344  0.07
Kapell 1951   23  0.4350  0.0027  0.1025  0.4961  0.0629  0.17
Kissin 1993   14  0.4526  0.009  0.1111  0.6423  0.514  0.57
Kushner 1989   32  0.3771  0.0030  0.1229  0.3863  0.0532  0.14
Luisada 1991   37  0.3617  0.0155  0.0552  0.0573  0.0463  0.04
Lushtak 2004   35  0.3616  0.0128  0.1127  0.4363  0.0433  0.13
Malcuzynski 1961   4  0.4813  0.015  0.114  0.7138  0.2810  0.45
Magaloff 1978   7  0.4710  0.017  0.095  0.7018  0.483  0.58
Magin 1975   33  0.3743  0.0044  0.0543  0.1186  0.0350  0.06
Michalowski 1933   80  0.2323  0.0077  0.0379  0.0342  0.1152  0.06
Milkina 1970   15  0.4525  0.0017  0.139  0.6549  0.0723  0.21
Mohovich 1999   34  0.3764  0.0047  0.0747  0.0766  0.0461  0.05
Moravec 1969   22  0.437  0.0120  0.1020  0.5436  0.2016  0.33
Morozova 2008   6  0.4718  0.0113  0.177  0.6720  0.495  0.57
Neighaus 1950   75  0.2472  0.0083  0.0469  0.0486  0.0286  0.03
Niedzielski 1931   76  0.2458  0.0072  0.0382  0.0375  0.0474  0.03
Ohlsson 1999   71  0.2576  0.0067  0.0463  0.0473  0.0467  0.04
Osinska 1989   40  0.3573  0.0035  0.0634  0.2764  0.0535  0.12
Pachmann 1927   82  0.2090  0.0076  0.0285  0.0253  0.0575  0.03
Paderewski 1930   83  0.1865  0.0071  0.0377  0.0338  0.1643  0.07
Perlemuter 1992   77  0.2441  0.0080  0.0283  0.0272  0.0387  0.02
Pierdomenico 2008   74  0.2446  0.0082  0.0376  0.0376  0.0373  0.03
Poblocka 1999   25  0.4138  0.0034  0.0633  0.2855  0.0830  0.15
Rabcewiczowa 1932   24  0.4214  0.0123  0.1323  0.5144  0.1121  0.24
Rachmaninoff 1923   27  0.4021  0.0129  0.1230  0.3759  0.0531  0.14
Rangell 2001   28  0.3947  0.0031  0.0731  0.3641  0.1720  0.25
Richter 1976   10  0.465  0.0216  0.1221  0.5325  0.428  0.47
Rosen 1989   78  0.2477  0.0073  0.0375  0.0379  0.0382  0.03
Rosenthal 1930   63  0.2766  0.0074  0.0380  0.0372  0.0481  0.03
Rosenthal 1931   61  0.2979  0.0058  0.0467  0.0439  0.1445  0.07
Rosenthal 1931b   70  0.2656  0.0060  0.0461  0.0443  0.1449  0.07
Rosenthal 1931c   58  0.3040  0.0061  0.0466  0.0445  0.1055  0.06
Rosenthal 1931d   79  0.2360  0.0070  0.0457  0.0461  0.0470  0.04
Rossi 2007   42  0.3449  0.0039  0.0737  0.2332  0.2422  0.23
Rubinstein 1939   16  0.4522  0.0122  0.1318  0.5729  0.359  0.45
Rubinstein 1952   5  0.4731  0.0018  0.1613  0.6348  0.0724  0.21
Rubinstein 1966   8  0.4720  0.018  0.1017  0.5942  0.2315  0.37
Schilhawsky 1960   38  0.3557  0.0042  0.0642  0.1359  0.0446  0.07
Shebanova 2002   57  0.3067  0.0066  0.0372  0.0380  0.0478  0.03
Smith 1975   41  0.3419  0.0141  0.0640  0.1457  0.0541  0.08
Sokolov 2002   39  0.3528  0.0025  0.1328  0.4229  0.3912  0.40
Sztompka 1959   21  0.438  0.0126  0.1126  0.4936  0.3013  0.38
Tomsic 1995   44  0.3362  0.0045  0.0545  0.1074  0.0451  0.06
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.562  0.252  0.303  0.749  0.621  0.68
Wasowski 1980   47  0.3380  0.0049  0.0556  0.0569  0.0556  0.05
Zak 1937   48  0.3291  0.0051  0.0555  0.0557  0.0557  0.05
Zak 1951   55  0.3074  0.0052  0.0748  0.0777  0.0358  0.05
Average   2  0.533  0.163  0.351  0.7769  0.0427  0.18
Random 1   91  -0.0727  0.0091  0.0191  0.0162  0.0389  0.02
Random 2   89  0.0934  0.0089  0.0287  0.023  0.5239  0.10
Random 3   90  -0.0451  0.0090  0.0290  0.0227  0.2548  0.07

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).