Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.5343  0.0024  0.0520  0.3236  0.1428  0.21
Anderszewski 2003   71  0.3470  0.0063  0.0553  0.0585  0.0281  0.03
Ashkenazy 1981   12  0.567  0.0111  0.158  0.5021  0.3811  0.44
Bacha 2000   79  0.2840  0.0076  0.0380  0.0374  0.0376  0.03
Badura 1965   18  0.5358  0.0019  0.0719  0.339  0.4816  0.40
Barbosa 1983   19  0.5215  0.0125  0.0629  0.2228  0.3823  0.29
Biret 1990   52  0.4332  0.0064  0.0549  0.0568  0.0475  0.04
Blet 2003   8  0.5765  0.0017  0.1016  0.4013  0.4414  0.42
Block 1995   64  0.3719  0.0032  0.0642  0.1167  0.0358  0.06
Blumental 1952   28  0.4947  0.0030  0.0531  0.2111  0.4422  0.30
Boshniakovich 1969   35  0.4748  0.0028  0.0541  0.1140  0.1636  0.13
Brailowsky 1960   80  0.2756  0.0082  0.0284  0.0276  0.0477  0.03
Bunin 1987   7  0.5738  0.0013  0.1510  0.4912  0.469  0.47
Bunin 1987b   5  0.5850  0.0012  0.129  0.4912  0.468  0.47
Chiu 1999   47  0.4457  0.0051  0.0476  0.0466  0.0465  0.04
Cohen 1997   88  0.0486  0.0087  0.0287  0.0281  0.0387  0.02
Cortot 1951   26  0.4921  0.0023  0.0622  0.3013  0.4618  0.37
Csalog 1996   83  0.2335  0.0081  0.0470  0.0475  0.0380  0.03
Czerny 1949   13  0.5459  0.0026  0.0724  0.2627  0.3721  0.31
Czerny 1990   3  0.6525  0.005  0.204  0.5814  0.497  0.53
Duchoud 2007   15  0.5362  0.0018  0.0718  0.3925  0.4115  0.40
Ezaki 2006   23  0.5152  0.0036  0.0630  0.2244  0.0835  0.13
Falvay 1989   63  0.3887  0.0073  0.0477  0.0474  0.0466  0.04
Farrell 1958   67  0.3689  0.0072  0.0647  0.0685  0.0367  0.04
Ferenczy 1958   69  0.3676  0.0052  0.0478  0.0433  0.2047  0.09
Fliere 1977   16  0.5322  0.0033  0.0533  0.1953  0.0638  0.11
Fou 1978   75  0.3066  0.0077  0.0379  0.0381  0.0379  0.03
Francois 1956   48  0.4351  0.0055  0.0556  0.0544  0.1057  0.07
Friedman 1923   54  0.4213  0.0110  0.1713  0.473  0.645  0.55
Friedman 1923b   49  0.4324  0.009  0.1511  0.483  0.674  0.57
Friedman 1930   44  0.446  0.038  0.127  0.507  0.566  0.53
Garcia 2007   62  0.3817  0.0061  0.0558  0.056  0.6431  0.18
Garcia 2007b   76  0.2928  0.0071  0.0469  0.0425  0.2940  0.11
Gierzod 1998   58  0.4290  0.0046  0.0562  0.0539  0.1351  0.08
Gornostaeva 1994   57  0.4267  0.0058  0.0552  0.0559  0.0473  0.04
Groot 1988   29  0.4937  0.0041  0.0635  0.1845  0.1134  0.14
Harasiewicz 1955   14  0.5416  0.007  0.1415  0.4325  0.2720  0.34
Hatto 1993   70  0.3512  0.0148  0.0473  0.0434  0.2049  0.09
Hatto 1997   72  0.3481  0.0049  0.0468  0.0435  0.1550  0.08
Horowitz 1949   43  0.4410  0.0147  0.0564  0.0548  0.0561  0.05
Indjic 1988   68  0.3620  0.0045  0.0545  0.0931  0.2333  0.14
Kapell 1951   20  0.5227  0.0014  0.1117  0.3930  0.3617  0.37
Kissin 1993   56  0.4211  0.0166  0.0648  0.0669  0.0462  0.05
Kushner 1989   22  0.5153  0.0042  0.0539  0.1458  0.0455  0.07
Luisada 1991   53  0.438  0.0167  0.0563  0.0578  0.0363  0.04
Lushtak 2004   38  0.4671  0.0034  0.0526  0.2538  0.1729  0.21
Malcuzynski 1961   6  0.5726  0.006  0.126  0.5227  0.3413  0.42
Magaloff 1978   65  0.3777  0.0068  0.0472  0.0483  0.0378  0.03
Magin 1975   60  0.4041  0.0031  0.0544  0.1051  0.0554  0.07
Michalowski 1933   27  0.4946  0.0016  0.1412  0.478  0.4610  0.46
Milkina 1970   74  0.3278  0.0078  0.0471  0.0451  0.0568  0.04
Mohovich 1999   33  0.4839  0.0054  0.0566  0.0569  0.0472  0.04
Moravec 1969   41  0.4542  0.0050  0.0560  0.0542  0.1152  0.07
Morozova 2008   21  0.5244  0.0029  0.0628  0.2353  0.0539  0.11
Neighaus 1950   30  0.4982  0.0027  0.0623  0.2653  0.0637  0.12
Niedzielski 1931   59  0.4131  0.0062  0.0565  0.0533  0.1544  0.09
Ohlsson 1999   37  0.4614  0.0138  0.0638  0.1653  0.0546  0.09
Osinska 1989   55  0.4249  0.0069  0.0474  0.0468  0.0464  0.04
Pachmann 1927   78  0.2854  0.0080  0.0557  0.0576  0.0370  0.04
Paderewski 1930   36  0.4763  0.0044  0.0640  0.1227  0.2232  0.16
Perlemuter 1992   11  0.5672  0.0020  0.0921  0.3122  0.3919  0.35
Pierdomenico 2008   46  0.449  0.0157  0.0551  0.0538  0.1843  0.09
Poblocka 1999   45  0.4455  0.0022  0.0825  0.2540  0.1727  0.21
Rabcewiczowa 1932   24  0.5033  0.0035  0.0636  0.1820  0.4524  0.28
Rachmaninoff 1923   9  0.575  0.044  0.215  0.535  0.613  0.57
Rangell 2001   66  0.3760  0.0074  0.0561  0.0575  0.0374  0.04
Richter 1976   50  0.4329  0.0053  0.0550  0.0554  0.0469  0.04
Rosen 1989   51  0.4361  0.0056  0.0555  0.0553  0.0471  0.04
Rosenthal 1930   61  0.4083  0.0065  0.0646  0.0641  0.1348  0.09
Rosenthal 1931   84  0.1773  0.0084  0.0381  0.0385  0.0284  0.02
Rosenthal 1931b   85  0.1574  0.0083  0.0285  0.0278  0.0389  0.02
Rosenthal 1931c   81  0.2679  0.0075  0.0382  0.0368  0.0383  0.03
Rosenthal 1931d   86  0.1591  0.0085  0.0286  0.0286  0.0288  0.02
Rossi 2007   77  0.2988  0.0070  0.0475  0.0428  0.2242  0.09
Rubinstein 1939   87  0.0568  0.0091  0.0191  0.0189  0.0291  0.01
Rubinstein 1952   82  0.2484  0.0086  0.0283  0.0286  0.0290  0.02
Rubinstein 1966   73  0.3364  0.0079  0.0467  0.0483  0.0382  0.03
Schilhawsky 1960   42  0.4575  0.0037  0.0527  0.2527  0.3025  0.27
Shebanova 2002   34  0.474  0.0421  0.0637  0.1649  0.0641  0.10
Smith 1975   25  0.5034  0.0043  0.0543  0.1169  0.0453  0.07
Sokolov 2002   10  0.5730  0.0015  0.1314  0.4720  0.3912  0.43
Sztompka 1959   4  0.642  0.132  0.303  0.653  0.582  0.61
Tomsic 1995   31  0.4936  0.0040  0.0732  0.1961  0.0445  0.09
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.761  0.521  0.521  0.771  0.751  0.76
Wasowski 1980   32  0.4918  0.0039  0.0734  0.1918  0.3426  0.25
Zak 1937   39  0.4645  0.0060  0.0559  0.0558  0.0559  0.05
Zak 1951   40  0.4569  0.0059  0.0554  0.0561  0.0560  0.05
Average   2  0.663  0.063  0.252  0.6556  0.0530  0.18
Random 1   89  -0.0123  0.0090  0.0288  0.0227  0.2256  0.07
Random 2   91  -0.0185  0.0088  0.0189  0.0154  0.0585  0.02
Random 3   90  -0.0180  0.0089  0.0190  0.0149  0.0486  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).