Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   46  0.4860  0.0049  0.0746  0.0758  0.0459  0.05
Ax 1995   15  0.6548  0.0017  0.1216  0.5742  0.1027  0.24
Bacha 1998   41  0.5445  0.0039  0.1040  0.1012  0.4928  0.22
Barbosa 1983   42  0.5243  0.0045  0.1236  0.1238  0.0743  0.09
BenOr 1989   4  0.6911  0.016  0.323  0.787  0.623  0.70
Biret 1990   43  0.5210  0.0140  0.1138  0.1140  0.1040  0.10
Brailowsky 1960   31  0.5934  0.0032  0.0734  0.1338  0.0937  0.11
Chiu 1999   49  0.4555  0.0048  0.0651  0.0623  0.3631  0.15
Clidat 1994   48  0.4847  0.0044  0.1139  0.1139  0.0647  0.08
Cohen 1997   60  0.3565  0.0060  0.0461  0.0446  0.0660  0.05
Cortot 1951   61  0.3350  0.0062  0.0463  0.0442  0.0662  0.05
Csalog 1996   47  0.4861  0.0047  0.0747  0.0746  0.0651  0.06
Czerny 1989   28  0.6016  0.0135  0.0941  0.0935  0.0942  0.09
Ezaki 2006   36  0.5746  0.0043  0.1532  0.1534  0.1036  0.12
Falvay 1989   8  0.6627  0.0011  0.137  0.6837  0.0926  0.25
Fiorentino 1962   21  0.6319  0.0014  0.1019  0.5527  0.2822  0.39
Fliere 1977   45  0.4964  0.0046  0.1333  0.1346  0.0739  0.10
Fou 1978   19  0.6336  0.008  0.1011  0.6521  0.4312  0.53
Francois 1956   44  0.5126  0.0041  0.0942  0.0933  0.1141  0.10
Goldenweiser 1946   58  0.3749  0.0056  0.0557  0.0545  0.0654  0.05
Gornostaeva 1994   51  0.4458  0.0050  0.0650  0.0639  0.0752  0.06
Groot 1988   40  0.5528  0.0038  0.0845  0.0858  0.0553  0.06
Hatto 1993   10  0.6530  0.0019  0.1318  0.5625  0.3917  0.47
Hatto 1997   9  0.664  0.0412  0.1013  0.6123  0.3815  0.48
Horszowski 1983   63  0.2951  0.0063  0.0555  0.0557  0.0463  0.04
Indjic 2001   14  0.6529  0.0020  0.1617  0.5726  0.3518  0.45
Katin 1996   18  0.6425  0.0021  0.1414  0.5931  0.1923  0.33
Kiepura 1999   24  0.6215  0.0123  0.1021  0.5113  0.4416  0.47
Korecka 1992   34  0.5841  0.0036  0.1335  0.1321  0.5624  0.27
Kushner 1990   25  0.6139  0.0027  0.1624  0.4521  0.3821  0.41
Lilamand 2001   52  0.4322  0.0053  0.0556  0.0512  0.4334  0.15
Luisada 1990   16  0.6421  0.0024  0.1120  0.5417  0.587  0.56
Luisada 2008   22  0.6317  0.0126  0.1423  0.4714  0.648  0.55
Lushtak 2004   38  0.5652  0.0031  0.1131  0.2043  0.0638  0.11
Malcuzynski 1951   13  0.6556  0.0015  0.1312  0.6238  0.1125  0.26
Malcuzynski 1961   5  0.685  0.035  0.288  0.6722  0.3913  0.51
Magaloff 1977   55  0.3940  0.0051  0.0649  0.0632  0.1344  0.09
Magin 1975   6  0.677  0.027  0.176  0.746  0.604  0.67
Meguri 1997   53  0.4253  0.0052  0.0553  0.0552  0.0464  0.04
Milkina 1970   7  0.6718  0.004  0.284  0.7720  0.416  0.56
Mohovich 1999   39  0.5557  0.0037  0.0843  0.0841  0.0649  0.07
Nezu 2005   1  0.761  0.531  0.531  0.841  0.841  0.84
Ohlsson 1999   17  0.648  0.019  0.1022  0.4724  0.3719  0.42
Olejniczak 1990   11  0.659  0.0116  0.149  0.6719  0.4310  0.54
Osinska 1989   12  0.6523  0.0018  0.1425  0.4541  0.1030  0.21
Perlemuter 1992   57  0.3862  0.0057  0.0652  0.0657  0.0455  0.05
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   50  0.4437  0.0054  0.0554  0.0553  0.0561  0.05
Richter 1960   56  0.3931  0.0058  0.0558  0.0552  0.0557  0.05
Richter 1961   62  0.3038  0.0059  0.0462  0.0447  0.0656  0.05
Rosen 1989   30  0.5933  0.0022  0.1326  0.4219  0.4220  0.42
Rubinstein 1939   23  0.6212  0.0113  0.0915  0.5919  0.509  0.54
Rubinstein 1952   20  0.6324  0.0010  0.1310  0.6716  0.4411  0.54
Rubinstein 1966   2  0.702  0.122  0.375  0.7513  0.515  0.62
Rudanovskaya 2007   59  0.3544  0.0061  0.0559  0.0550  0.0558  0.05
Shebanova 2002   54  0.4132  0.0055  0.0460  0.0450  0.0465  0.04
Smith 1975   37  0.5720  0.0028  0.0829  0.2641  0.0932  0.15
Sztompka 1959   26  0.6114  0.0125  0.1027  0.395  0.6614  0.51
Tanyel 1992   33  0.586  0.0229  0.1030  0.2334  0.1035  0.15
Tsujii 2005   27  0.6035  0.0034  0.0844  0.0856  0.0648  0.07
Uninsky 1959   35  0.5754  0.0042  0.1237  0.1248  0.0645  0.08
Vardi 1988   32  0.5942  0.0030  0.0928  0.2742  0.0833  0.15
Wasowski 1980   29  0.6013  0.0133  0.0748  0.0711  0.6229  0.21
Zimerman 1975   3  0.703  0.103  0.352  0.826  0.652  0.73
Random 1   66  -0.1066  0.0066  0.0166  0.0165  0.0266  0.01
Random 2   65  0.0063  0.0065  0.0265  0.0216  0.3646  0.08
Random 3   64  0.0259  0.0064  0.0264  0.0221  0.2350  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).