Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.729  0.019  0.145  0.5511  0.478  0.51
Anderszewski 2003   52  0.5221  0.0037  0.0838  0.1735  0.1335  0.15
Ashkenazy 1981   42  0.5784  0.0026  0.0929  0.3431  0.2530  0.29
Bacha 2000   77  0.3839  0.0070  0.0655  0.0678  0.0362  0.04
Badura 1965   20  0.642  0.0415  0.1216  0.435  0.5411  0.48
Barbosa 1983   64  0.4810  0.0154  0.0654  0.0629  0.2244  0.11
Biret 1990   51  0.5254  0.0053  0.0656  0.0654  0.0561  0.05
Blet 2003   6  0.7220  0.0016  0.1310  0.489  0.4513  0.46
Block 1995   57  0.5045  0.0035  0.0641  0.1346  0.0547  0.08
Blumental 1952   61  0.4957  0.0039  0.0642  0.1346  0.0548  0.08
Boshniakovich 1969   16  0.6513  0.0133  0.0732  0.2821  0.3627  0.32
Brailowsky 1960   76  0.4058  0.0080  0.0572  0.0583  0.0366  0.04
Bunin 1987   8  0.7115  0.0114  0.1114  0.452  0.597  0.52
Bunin 1987b   9  0.7125  0.0013  0.1113  0.452  0.606  0.52
Chiu 1999   73  0.4222  0.0064  0.0567  0.0570  0.0367  0.04
Cohen 1997   87  0.1559  0.0076  0.0381  0.0361  0.0482  0.03
Cortot 1951   11  0.6849  0.0018  0.1518  0.398  0.4919  0.44
Csalog 1996   70  0.4330  0.0058  0.0570  0.0535  0.1646  0.09
Czerny 1949   4  0.7328  0.006  0.094  0.5610  0.514  0.53
Czerny 1990   14  0.6669  0.0030  0.0830  0.3245  0.0638  0.14
Duchoud 2007   26  0.6078  0.0032  0.0928  0.349  0.4225  0.38
Ezaki 2006   22  0.6366  0.0034  0.0833  0.2549  0.0542  0.11
Falvay 1989   80  0.3479  0.0085  0.0287  0.0285  0.0387  0.02
Farrell 1958   69  0.4373  0.0069  0.0473  0.0484  0.0380  0.03
Ferenczy 1958   13  0.668  0.0117  0.1117  0.404  0.5215  0.46
Fliere 1977   12  0.6732  0.0029  0.0626  0.3457  0.0440  0.12
Fou 1978   68  0.4360  0.0068  0.0571  0.0586  0.0370  0.04
Francois 1956   49  0.5351  0.0061  0.0945  0.0956  0.0551  0.07
Friedman 1923   65  0.4856  0.0024  0.0725  0.344  0.5917  0.45
Friedman 1923b   60  0.4962  0.0023  0.1021  0.385  0.5912  0.47
Friedman 1930   62  0.4989  0.0036  0.0735  0.2217  0.4229  0.30
Garcia 2007   45  0.5675  0.0050  0.0563  0.0515  0.4137  0.14
Garcia 2007b   74  0.4246  0.0051  0.0659  0.0622  0.2245  0.11
Gierzod 1998   15  0.665  0.0221  0.1115  0.4424  0.3324  0.38
Gornostaeva 1994   50  0.5340  0.0065  0.0564  0.0564  0.0375  0.04
Groot 1988   58  0.5068  0.0066  0.0650  0.0673  0.0376  0.04
Harasiewicz 1955   23  0.624  0.023  0.212  0.605  0.475  0.53
Hatto 1993   63  0.4944  0.0020  0.1222  0.3613  0.4323  0.39
Hatto 1997   47  0.5371  0.0012  0.1211  0.4712  0.4514  0.46
Horowitz 1949   35  0.5833  0.0044  0.0644  0.1121  0.4032  0.21
Indjic 1988   55  0.5167  0.0019  0.1020  0.3812  0.4421  0.41
Kapell 1951   7  0.7226  0.0010  0.1312  0.479  0.4416  0.45
Kissin 1993   32  0.5941  0.0060  0.0748  0.0781  0.0358  0.05
Kushner 1989   33  0.5885  0.0057  0.0653  0.0668  0.0457  0.05
Luisada 1991   56  0.5023  0.0063  0.0569  0.0577  0.0364  0.04
Lushtak 2004   46  0.5448  0.0028  0.0731  0.3043  0.0934  0.16
Malcuzynski 1961   24  0.607  0.025  0.0834  0.2324  0.2431  0.23
Magaloff 1978   71  0.4231  0.0073  0.0566  0.0579  0.0368  0.04
Magin 1975   43  0.5734  0.0045  0.0652  0.0660  0.0456  0.05
Michalowski 1933   19  0.6463  0.007  0.116  0.534  0.533  0.53
Milkina 1970   53  0.5236  0.0067  0.0746  0.0748  0.0653  0.06
Mohovich 1999   28  0.6035  0.0049  0.0747  0.0753  0.0554  0.06
Moravec 1969   66  0.4537  0.0075  0.0478  0.0456  0.0463  0.04
Morozova 2008   40  0.5761  0.0047  0.0565  0.0573  0.0373  0.04
Neighaus 1950   21  0.6319  0.0011  0.138  0.5116  0.3420  0.42
Niedzielski 1931   44  0.5687  0.0055  0.0657  0.0643  0.0850  0.07
Ohlsson 1999   37  0.586  0.0227  0.0727  0.3426  0.2728  0.30
Osinska 1989   36  0.5850  0.0059  0.0562  0.0575  0.0365  0.04
Pachmann 1927   67  0.4547  0.0071  0.0474  0.0451  0.0571  0.04
Paderewski 1930   39  0.5711  0.0143  0.0643  0.1129  0.1936  0.14
Perlemuter 1992   17  0.6453  0.0025  0.0819  0.3921  0.3126  0.35
Pierdomenico 2008   78  0.3843  0.0078  0.0479  0.0475  0.0378  0.03
Poblocka 1999   2  0.753  0.034  0.167  0.519  0.489  0.49
Rabcewiczowa 1932   31  0.5918  0.0042  0.0740  0.1527  0.2733  0.20
Rachmaninoff 1923   54  0.5182  0.0048  0.0660  0.0669  0.0455  0.05
Rangell 2001   72  0.4290  0.0074  0.0475  0.0467  0.0383  0.03
Richter 1976   18  0.6416  0.0031  0.0824  0.365  0.5418  0.44
Rosen 1989   41  0.5724  0.0052  0.0561  0.0571  0.0374  0.04
Rosenthal 1930   48  0.5317  0.0062  0.0649  0.0655  0.0460  0.05
Rosenthal 1931   81  0.3238  0.0081  0.0384  0.0380  0.0288  0.02
Rosenthal 1931b   84  0.3076  0.0082  0.0380  0.0382  0.0384  0.03
Rosenthal 1931c   75  0.4180  0.0077  0.0476  0.0487  0.0285  0.03
Rosenthal 1931d   83  0.3165  0.0083  0.0286  0.0275  0.0390  0.02
Rossi 2007   85  0.2688  0.0084  0.0285  0.0259  0.0577  0.03
Rubinstein 1939   86  0.2427  0.0087  0.0382  0.0371  0.0479  0.03
Rubinstein 1952   82  0.3272  0.0086  0.0383  0.0385  0.0386  0.03
Rubinstein 1966   79  0.3774  0.0079  0.0477  0.0477  0.0472  0.04
Schilhawsky 1960   3  0.7314  0.012  0.233  0.593  0.552  0.57
Shebanova 2002   25  0.6052  0.0041  0.0639  0.1544  0.1041  0.12
Smith 1975   34  0.5812  0.0156  0.0651  0.0675  0.0369  0.04
Sokolov 2002   29  0.6042  0.0022  0.1023  0.3617  0.4222  0.39
Sztompka 1959   10  0.7055  0.008  0.119  0.4812  0.5010  0.49
Tomsic 1995   59  0.4983  0.0072  0.0658  0.0688  0.0281  0.03
Uninsky 1932   1  0.891  0.701  0.691  0.841  0.861  0.85
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   38  0.5864  0.0040  0.0737  0.1840  0.1039  0.13
Zak 1937   27  0.6029  0.0046  0.0568  0.0549  0.0752  0.06
Zak 1951   30  0.6070  0.0038  0.0736  0.1847  0.0743  0.11
Random 1   88  -0.0277  0.0089  0.0188  0.012  0.5749  0.08
Random 2   90  -0.0886  0.0088  0.0189  0.0116  0.2459  0.05
Random 3   89  -0.0781  0.0090  0.0190  0.0159  0.0489  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).